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Journal articles on the topic 'Matched filter detectors'

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Author: Grafiati

Published: 4 June 2021

Last updated: 29 January 2023

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1

KWON, HEESUNG, NASSER M. NASRABADI, and PATTI GILLESPIE. "NONLINEAR CHEMICAL PLUME DETECTION USING KERNEL-BASED MATCHED SUBSPACE DETECTORS." International Journal of High Speed Electronics and Systems 17, no. 04 (December 2007): 813–26. http://dx.doi.org/10.1142/s0129156407005004.

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In this paper, we compare several detection algorithms that are based on spectral matched (subspace) filters. Nonlinear (kernel) versions of these spectral matched (subspace) detectors are also discussed and their performance is compared with the linear versions. These kernel-based detectors exploit the nonlinear correlations between the spectral bands that are ignored by the conventional detectors. Several well-known matched detectors, such as matched subspace detector, orthogonal subspace detector, spectral matched filter and adaptive subspace detector (adaptive cosine estimator) are extended to their corresponding kernel versions by using the idea of kernel-based learning theory. In kernel-based detection algorithms the data is implicitly mapped into a high dimensional kernel feature space by a nonlinear mapping which is associated with a kernel function. The detection algorithm is then derived in the feature space which is kernelized in terms of the kernel functions in order to avoid explicit computation in the high dimensional feature space. Experimental results based on simulated toy-examples and real hyperspectral imagery shows that the kernel versions of these detectors outperform the conventional linear detectors.

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2

Michael Stanley, C. "Protect Your Detectors." Microscopy Today 14, no. 4 (July 2006): 64–65. http://dx.doi.org/10.1017/s1551929500050343.

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Excessive light to detectors can be very harmful. Too much light, either monochromatic or wide band, can easily destroy photomultiplier tubes (PMTs). Charge-coupled devices (CCDs) cameras, of modern design, are typically made with cut-outs so that saturation beyond several pixels will cause them to shut off. Unfortunately, the detectors in the back of your eyes do not have automatic shut-off mechanisms, and can be easily destroyed with excessive light.As a review of filters and cubes, keep in mind that the primary job for the excitation filter is to block all light other than the desired band being used to excite the fluorochrome. The primary job of the emission filter is to block the excitation source. If these two optics are chosen correctly and inserted in the beam path, the only light reaching the detector is the fluorescence emission from the fluorochrome. Nothing from the source should make it to the detector. This very weak emission intensity has no chance of harming the detectors. If these two optics are not perfectly matched, the excitation light may reach the detector and cause all sorts of problems.

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3

Yousif Al-Aboosi, Yasin, Mustafa Sami Ahmed, and Ammar Ali Sahrab. "NEAR–OPTIMUM DETECTION OF SIGNALS IN UNDERWATER ACOUSTIC NOISE USING LOCALLY OPTIMAL DETECTOR IN TIGERS RIVER." Journal of Engineering and Sustainable Development 27, no. 1 (January 1, 2023): 19–27. http://dx.doi.org/10.31272/jeasd.27.1.2.

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Signal detection has been considered important in under-water signal processing and digital communications, and depending upon noise statistics’ knowledge, near-optimum signal detections in the under-water acoustic noises (UWANs) may be realized in a more effective manner. The theory of the normal (i.e. Gaussian) noise permits using matched filter (MF) detectors; for that reason, a locally optimal (LO) detector has been designed in the present work for improving the probability of the detection ( based on knowing the probability density function (PDF) of noise. Under-water noise that has been utilized for the validation represents the real data that had been gathered from the sea with the use of the broad-band hydrophones at Abo Dali district -Kazem Al Ali Village-Tigris Beaches-Baghdad-Iraq. The LO detector performance is compared after that to the conventional matched filter detector and those have been assessed based on their values. For time-varying signals, the probability of false alarms has been identified as 0.010, and of 90%, energy-to-noise ratios (ENRs) of LO are more efficient compared to the ones of Matched Filter by 4.1dB and for the signals with a fixed frequency, LO is more efficient compared to matched filter by 4.7dB.

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4

Li, Ting Jun. "Performance Analysis of a Robust Matched Subspace Detector." Key Engineering Materials 480-481 (June 2011): 775–80. http://dx.doi.org/10.4028/www.scientific.net/kem.480-481.775.

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The area of robust detection in the presence of partly unknown useful signal or interference is a widespread task in many signal processing applications. In this paper, we consider the robustness of a matched subspace detector in additive white Gaussian noise, under the condition that the noise power is known under null hypothesis, and unknown under alternative hypothesis when the useful signal triggers an variation of noise power, and we also consider the mismatch between the signal subspace and receiver matched filter. The test statistic of this detection problem is derived based on generalized likelihood ratio test, and the distribution of the test statistic is analysis. The computer simulation is used to validate the performance analysis and the robustness of this algorithm at low SNR, compared with other matched subspace detectors.

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5

Truslow, Eric, Dimitris Manolakis, Michael Pieper, Thomas Cooley, and Mike Brueggeman. "Performance Prediction of Matched Filter and Adaptive Cosine Estimator Hyperspectral Target Detectors." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7, no. 6 (June 2014): 2337–50. http://dx.doi.org/10.1109/jstars.2013.2272697.

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6

Delaney, P. A., and D. O. Walsh. "Performance analysis of the incoherent and skewness matched filter detectors in multipath environments." IEEE Journal of Oceanic Engineering 20, no. 1 (1995): 80–84. http://dx.doi.org/10.1109/48.380243.

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7

Yao, Shuai, and Yinjia Liu. "A Novel Feature-Based Detector for Underwater Acoustic Beacon Signals Using Superimposed Envelope Spectrum of Multi-Pulses." Journal of Marine Science and Engineering 9, no. 12 (November 28, 2021): 1337. http://dx.doi.org/10.3390/jmse9121337.

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For tackling the challenge of in-time searching a sea-crashed plane, it is critical to develop a convenient and reliable detector for the underwater beacon signal. In the application of signal detection, a conventional detector such as linear correlation (LC) is used based on the assumption of Gaussian white noise, but it has turned out to be a poor choice in a sophisticated underwater environment. To address this issue, a novel feature-based detector using superimposed envelope spectrum (SES) of multi-pulses is proposed in this paper. The proposed detector firstly extracts the envelopes of the received multi-pulse signals and superimposes the envelopes according to the known period. Then, the harmonic features of the SES are derived and utilized in the feature judgment to make the final decision. The proposed method is evaluated together with several existing state-of-the-art detectors, including the matched filter (MF), the generalized likelihood ratio test (GRLT) detector, and the periodogram of the directly dislocation superposition (PDDS) detectors with constant false alarm probability. Compared with the conventional detectors, it is found that the proposed SES detector is more robust against the colored noise, the random phase, and the channel distortions caused by the sophisticated underwater environment. Simulation results show that, given a detection probability value of 90% and a false alarm probability value of 1%, the proposed detector shows a gain of 3–12 dB compared with the best one of the MF, GRLT, and the PDDS detectors under distorted channels in terms of signal-to-noise ratio (SNR) requirements, respectively. Experimental results based on lake trial data have also verified the validity and feasibility of the proposed feature-based detector.

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8

Bajorski, Peter. "Analytical Comparison of the Matched Filter and Orthogonal Subspace Projection Detectors for Hyperspectral Images." IEEE Transactions on Geoscience and Remote Sensing 45, no. 7 (July 2007): 2394–402. http://dx.doi.org/10.1109/tgrs.2007.896544.

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9

BOSE, SUKANTA, ARCHANA PAI, and SANJEEV DHURANDHAR. "DETECTION OF GRAVITATIONAL WAVES FROM INSPIRALING, COMPACT BINARIES USING A NETWORK OF INTERFEROMETRIC DETECTORS." International Journal of Modern Physics D 09, no. 03 (June 2000): 325–29. http://dx.doi.org/10.1142/s0218271800000360.

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We formulate the data analysis problem for the detection of the Newtonian waveform from an inspiraling, compact binary by a network of arbitrarily oriented and arbitrarily located laser interferometric gravitational-wave detectors. We obtain for the first time the relation between the optimal statistic and the magnitude of the network correlation vector, which is constructed from the matched network-filter.

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10

MORVIDONE, MARCELA, and BRUNO TORRESANI. "TIME SCALE APPROACH FOR CHIRP DETECTION." International Journal of Wavelets, Multiresolution and Information Processing 01, no. 01 (March 2003): 19–49. http://dx.doi.org/10.1142/s0219691303000037.

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Two different approaches for joint detection and estimation of signals embedded in stationary random noise are considered and compared, for the subclass of amplitude and frequency modulated signals. Matched filter approaches are compared to time-frequency and time scale based approaches. Particular attention is paid to the case of the so-called "power-law chirps", characterized by monomial and polynomial amplitude and frequency functions. As target application, the problem of gravitational waves at interferometric detectors is considered.

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11

Hill, R. D., R. J. A. Tough, and K. D. Ward. "Distribution of the global maximum of a Gaussian random field and performance of matched filter detectors." IEE Proceedings - Vision, Image, and Signal Processing 147, no. 4 (2000): 297. http://dx.doi.org/10.1049/ip-vis:20000397.

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12

Liu, Jun, Zi-Jing Zhang, and Yun Yang. "Optimal waveform design for generalized likelihood ratio and adaptive matched filter detectors using a diversely polarized antenna." Signal Processing 92, no. 4 (April 2012): 1126–31. http://dx.doi.org/10.1016/j.sigpro.2011.11.006.

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13

MORVIDONE, MARCELA. "TIME-SCALE APPROACH FOR CHIRP DETECTION II." International Journal of Wavelets, Multiresolution and Information Processing 08, no. 01 (January 2010): 89–107. http://dx.doi.org/10.1142/s0219691310003407.

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A new approach for joint detection and estimation of signals embedded in stationary random noise is considered and compared to previously studied methods, for the subclass of amplitude and frequency modulated signals. The method is a "reassigned" version of the Hough-wavelet transform and it is compared to the matched filter approach and the Hough-wavelet transform itself. Extensions to previous results obtained with these two methods are also presented. As target application, the problem of gravitational waves at interferometric detectors is considered. Our main conclusion is that there is no gain in introducing the reassignment operation.

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14

Kovintavewat, Piya, and Santi Koonkarnkhai. "An Improved TA Suppression Method for Coded PR Channels." Advanced Materials Research 979 (June 2014): 46–49. http://dx.doi.org/10.4028/www.scientific.net/amr.979.46.

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Thermal asperity (TA) resulting from the collision between the slider and the asperity on a magnetic medium during read process can deteriorate the performance of hard disk drives (HDDs). Without TA detection and correction algorithms, the system performance can be unacceptable, depending on how severe the TA is. This paper presents an improved TA suppression method for coded partial response (PR) channels, which consists of two channels running in parallel. Specifically, one channel is matched to the target H(D), while the other is matched to the target H(D)G(D), where G(D) = 1 – D2 is a bandpass filter and D is a delay operator. The soft-output Viterbi algorithm (SOVA) detector in the H(D) channel yields the high-quality soft information in absence of the TA, while that in the G(D)H(D) channel produces the high-quality soft information in presence of the TA. Then, the overall soft information chosen from these two detectors, depending on if a TA is detected or not, is sent to the decoder according to the turbo equalization principle. Experimental results show that the proposed method performs better than the conventional and the previously proposed ones, when operating at high signal-to-noise ratio (SNR) region where a practical HDD works.

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15

Gibbons, Steven J. "The optimal correlation detector?" Geophysical Journal International 228, no. 1 (August 23, 2021): 355–65. http://dx.doi.org/10.1093/gji/ggab344.

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SUMMARY Correlation detectors are now used routinely in seismology to detect occurrences of signals bearing close resemblance to a reference waveform. They facilitate the detection of low-amplitude signals in significant background noise that may elude detection using energy detectors, and they associate a detected signal with a source location. Many seismologists use the fully normalized correlation coefficient C between the template and incoming data to determine a detection. This is in contrast to other fields with a longer tradition for matched filter detection where the theoretically optimal statistic C2 is typical. We perform a systematic comparison between the detection statistics C and C|C|, the latter having the same dynamic range as C2 but differentiating between correlation and anticorrelation. Using a database of short waveform segments, each containing the signal on a 3-component seismometer from one of 51 closely spaced explosions, we attempt to detect P- and S-phase arrivals for all events using short waveform templates from each explosion as reference signals. We present empirical statistics of both C and C|C| traces and demonstrate that C|C| detects confidently a higher proportion of the signals than C without evidently increasing the likelihood of triggering erroneously. We recall from elementary statistics that C2, also called the coefficient of determination, represents the fraction of the variance of one variable which can be explained by another variable. This means that the fraction of a segment of our incoming data that could be explained by our signal template decreases almost linearly with C|C| but diminishes more rapidly as C decreases. In most situations, replacing C with C|C| in operational correlation detectors may improve the detection sensitivity without hurting the performance-gain obtained through network stacking. It may also allow a better comparison between single-template correlation detectors and higher order multiple-template subspace detectors which, by definition, already apply an optimal detection statistic.

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16

Tang, Mengjiao, Yao Rong, and Jie Zhou. "An Information Geometric Viewpoint on the Detection of Range Distributed Targets." Mathematical Problems in Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/930793.

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The paper adopts the information geometry, to put forward a new viewpoint on the detection of range distributed targets embedded in Gaussian noise with unknown covariance. The original hypothesis test problem is formulated as the discrimination between distributions of the measurements and the noise. The Siegel distance, which is exactly the well-known geodesic distance between images of the original distributions via embedding into a higher-dimensional manifold, is given as an intrinsic measure on the difference between multivariate normal distributions. Without the assumption of uncorrelated measurements, we propose a set of geometric distance detectors, which is designed based on the Siegel distance and different from the generalized likelihood ratio algorithm or other common criterions in statistics. As special cases, the classical optimal matched filter, Rao test, and Wald test, which have been proven to have the CFAR property, belong to the set. Moreover, it is also accessible to an intuitively geometric analysis about how strongly the data contradict the null hypothesis.

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17

Giono, Gabriel, Boris Strelnikov, Heiner Asmus, Tristan Staszak, Nickolay Ivchenko, and Franz-Josef Lübken. "Photocurrent modelling and experimental confirmation for meteoric smoke particle detectors on board atmospheric sounding rockets." Atmospheric Measurement Techniques 11, no. 9 (September 20, 2018): 5299–314. http://dx.doi.org/10.5194/amt-11-5299-2018.

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Abstract. Characterising the photoelectron current induced by the Sun's UV radiation is crucial to ensure accurate daylight measurements from particle detectors. This article lays out the methodology used to address this problem in the case of the meteoric smoke particle detectors (MSPDs), developed by the Leibniz Institute of Atmospheric Physics in Kühlungsborn (IAP) and flown on board the PMWEs (Polar Mesosphere Winter Echoes) sounding rockets in April 2018. The methodology focuses on two complementary aspects: modelling and experimental measurements. A detailed model of the MSPD photocurrent was created based on the expected solar UV flux, the atmospheric UV absorption as a function of height by molecular oxygen and ozone, the photoelectric yield of the material coating the MSPD as a function of wavelength, the index of refraction of these materials as a function of wavelength and the angle of incidence of the illumination onto the MSPD. Due to its complex structure, composed of a central electrode shielded by two concentric grids, extensive ray-tracing calculations were conducted to obtain the incidence angles of the illumination on the central electrode, and this was done for various orientations of the MSPD in respect to the Sun. Results of the modelled photocurrent at different heights and for different materials, as well as for different orientations of the detector, are presented. As a pre-flight confirmation, the model was used to reproduce the experimental measurements conducted by Robertson et al. (2014) and agrees within an order of magnitude. An experimental setup for the calibration of the MSPD photocurrent is also presented. The photocurrent induced by the Lyman-alpha line from a deuterium lamp was recorded inside a vacuum chamber using a narrowband filter, while a UV-sensitive photodiode was used to monitor the UV flux. These measurements were compared with the model prediction, and also matched within an order of magnitude. Although precisely modelling the photocurrent is a challenging task, this article quantitatively improved the understanding of the photocurrent on the MSPD and discusses possible strategies to untangle the meteoric smoke particles (MSPs) current from the photocurrent recorded in-flight.

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18

Robey, F. C., D. R. Fuhrmann, E. J. Kelly, and R. Nitzberg. "A CFAR adaptive matched filter detector." IEEE Transactions on Aerospace and Electronic Systems 28, no. 1 (1992): 208–16. http://dx.doi.org/10.1109/7.135446.

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19

ANGGA, BAYU, DWI ARYANTA, and NASRULLAH ARMI. "Kinerja Spectrum Sensing dengan Metode Matched Filter Detector pada Radio Kognitif." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 1, no. 1 (January 1, 2013): 60. http://dx.doi.org/10.26760/elkomika.v1i1.60.

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ABSTRAKEvolusi sistem nirkabel dan teknologi saat ini telah membuat dampak besar pada masyarakat. Namun, disaat yang sama pengelolaan dan pemanfaatan kelangkaan spektrum tidak efisien. Radio kognitif adalah paradigma baru dalam merancang sistem komunikasi nirkabel yang bertujuan untuk meningkatkan pemanfaatan spektrum frekuensi radio (RF) dan mengurangi seminimal mungkin kelangkaan spektrum. Spectrum sensing adalah langkah utama yang akan memungkinkan jaringan radio kognitif, yaitu untuk menentukan status spektrum dan aktivitas pengguna utama secara berkala, dengan menggunakan metode matched filter detector dan energy detector sebagai pembandingnya. Hasil dari kinerja spectrum sensing berdasarkan simulasi, menunjukan kinerja matched filter detector membutuhkan SNR = 15 dB untuk mencapai probability detection (Pd) sebesar 100%, dengan probability false alarm sebesar 0,01, sedangkan energy detector hanya membutuhkan SNR = 14,2 dB. Secara keseluruhan untuk deteksi sinyal yang optimal kinerja matched filter detector tidak lebih baik dibanding kinerja energy detector.Kata kunci: spectrum sensing, radio kognitif, probability detection, matched filter detector, energy detector.ABSTRACTThe evolution of wireless systems and current technology has made a huge impact on society. However, at the same time the management and utilization of spectrum scarcity is not efficient. Cognitive Radio is a new paradigm in designing wireless communication system that aims to improve the utilization of the radio frequency spectrum (RF) and reduce to a minimum the scarcity of spectrum. Spectrum sensing is a major step that will allow the cognitive radio networks, namely to determine the status of the spectrum and activity of the primary user at regular intervals, using the method of matched filter detector and energy detector as a comparison. The results of the performance spectrum sensing based on simulations, indicates the performance matched filter detector requires SNR = 15 dB to achieve detection probability (Pd) of 100%, with a probability of false alarm of 0.01, whereas energy detector only requires SNR = 14.2 dB. As a whole for optimum signal detection performance of matched filter detector is not better than the performance of energy detector.Keywords: spectrum sensing, cognitive radio, probability detection, matched filter detector, energy detector.

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20

MANOLAKIS, DIMITRIS, MICHAEL ROSSACCI, ERIN O'DONNELL, and FRANCIS M. D'AMICO. "SIGNAL PROCESSING ALGORITHMS FOR STARING SINGLE PIXEL HYPERSPECTRAL SENSORS." International Journal of High Speed Electronics and Systems 18, no. 03 (September 2008): 661–73. http://dx.doi.org/10.1142/s0129156408005655.

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Remote sensing of chemical warfare agents (CWA) with stand-off hyperspectral sensors has a wide range of civilian and military applications. These sensors exploit the spectral changes in the ambient photon flux produced thermal emission or absorption after passage through a region containing the CWA cloud. In this work we focus on (a) staring single-pixel sensors that sample their field of view at regular intervals of time to produce a time series of spectra and (b) scanning single or multiple pixel sensors that sample their FOV as they scan. The main objective of signal processing algorithms is to determine if and when a CWA enters the FOV of the sensor. We shall first develop and evaluate algorithms for staring sensors following two different approaches. First, we will assume that no threat information is available and we design an adaptive anomaly detection algorithm to detect a statistically-significant change in the observed spectrum. The algorithm processes the observed spectra sequentially-in-time, estimates adaptively the background, and checks whether the next spectrum differs significantly from the background based on the Mahalanobis distance or the distance from the background subspace. In the second approach, we will assume that we know the spectral signature of the CWA and develop sequential-in-time adaptive matched filter detectors. In both cases, we assume that the sensor starts its operation before the release of the CWA; otherwise, staring at a nearby CWA-free area is required for background estimation. Experimental evaluation and comparison of the proposed algorithms is accomplished using data from a long-wave infrared (LWIR) Fourier transform spectrometer.

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21

Shi, Y. L., P. L. Shui, and Y. B. Zhao. "Oversampling gain in adaptive normalised matched filter detector." IET Radar, Sonar & Navigation 5, no. 9 (2011): 987. http://dx.doi.org/10.1049/iet-rsn.2010.0293.

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22

Usman, Mustefa Badri, Ram Sewak Singh, and S. Rajkumar. "Stage Spectrum Sensing Technique for Cognitive Radio Network Using Energy and Entropy Detection." Wireless Power Transfer 2022 (August 24, 2022): 1–10. http://dx.doi.org/10.1155/2022/7941978.

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The radio spectrum is one of the world’s most highly regulated and limited natural resources. The number of wireless devices has increased dramatically in recent years, resulting in a scarcity of available radio spectrum due to static spectrum allocation. However, many studies on static allocation show that the licensed spectrum bands are underutilized. Cognitive radio has been considered as a viable solution to the issues of spectrum scarcity and underutilization. Spectrum sensing is an important part in cognitive radio for detecting spectrum holes. To detect the availability or unavailability of primary user signals, many spectrum sensing techniques such as matched filter detection, cyclostationary feature detection, and energy detection have been developed. Energy detection has gained significant attention from researchers because of its ease of implementation, fast sensing time, and low computational complexity. Conventional detectors’ performance degrades rapidly at low SNR due to their sensitivity to the uncertainty of noise. To mitigate noise uncertainty, Shannon, Tsallis, Kapur, and Renyi entropy-based detection has been used in this study, and their performances are compared to choose the best performer. According to the comparison results, the Renyi entropy outperforms other entropy methods. In this study, two-stage spectrum sensing is proposed using energy detection as the coarse stage and Renyi entropy-based detection as the fine stage to improve the performance of single-stage detection techniques. Furthermore, the performance comparison among conventional energy detection, entropy-based detection, and the proposed two-stage techniques over AWGN channel are performed. The parameters such as probability of detection, false alarm probability, miss-detection probability, and receiver operating characteristics curve are used to evaluate the performance of spectrum sensing techniques. It has been shown that the proposed two-stage sensing technique outperforms single-stage energy detection and Renyi entropy-based detection by 11 dB and 1 dB, respectively.

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Wu, Hao, Yongqiang Cheng, Xiaoqiang Hua, and Hongqiang Wang. "Vector Bundle Model of Complex Electromagnetic Space and Change Detection." Entropy 21, no. 1 (December 23, 2018): 10. http://dx.doi.org/10.3390/e21010010.

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Complex Electromagnetic Space (CEMS), which consists of physical space and the complex electromagnetic environment, plays an essential role in our daily life for supporting remote communication, wireless network, wide-range broadcast, etc. In CEMS, the electromagnetic activities might work differently from the ideal situation; the typical case is that undesired signal would disturb the echo of objects and overlap into it resulting in the mismatch of matched filter and the reduction of the probability of detection. The lacking mathematical description of CEMS resulting from the complexity of electromagnetic environment leads to the inappropriate design of detection method. Therefore, a mathematical model of CEMS is desired for integrating the electromagnetic signal in CEMS as a whole and considering the issues in CEMS accurately. This paper puts forward a geometric model of CEMS based on vector bundle, which is an abstract concept in differential geometry and proposes a geometric detector for change detection in CEMS under the geometric model. In the simulation, the proposed geometric detector was compared with energy detector and matched filter in two scenes: passive detection case and active detection case. The results show the proposed geometric detector is better than both energy detector and matched filter with 4∼5 dB improvements of SNR (signal-to-noise ratio) in two scenes.

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Song, Chong, Bingnan Wang, Maosheng Xiang, Zhongbin Wang, Weidi Xu, and Xiaofan Sun. "A Novel Post-Doppler Parametric Adaptive Matched Filter for Airborne Multichannel Radar." Remote Sensing 12, no. 24 (December 8, 2020): 4017. http://dx.doi.org/10.3390/rs12244017.

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The post-Doppler adaptive matched filter (PD-AMF) with constant false alarm rate (CFAR) property was developed for adaptive detection of moving targets, which is a standardized version of the post-Doppler space–time adaptive processing (PD-STAP) in practical applications. However, its detection performance is severely constrained by the training data, especially in a dense signal environment. Improper training data and contamination of moving target signals remarkably degrade the performance of disturbance suppression and result in target cancellation by self-whitening. To address these issues, a novel post-Doppler parametric adaptive matched filter (PD-PAMF) detector is proposed in the range-Doppler domain. Specifically, the detector is introduced via the post-Doppler matched filter (PD-MF) and the lower-diagonal-upper (LDU) decomposition of the disturbance covariance matrix, and the disturbance signals of the spatial sequence are modelled as an auto-regressive (AR) process for filtering. The purpose of detecting ground moving targets as well as for estimating their geographical positions and line-of-sight velocities is achieved when the disturbance is suppressed. The PD-PAMF is able to reach higher performances by using only a smaller training data size. More importantly, it is tolerant to moving target signals contained in the training data. The PD-PAMF also has a lower computational complexity. Numerical results are presented to demonstrate the effectiveness of the proposed detector.

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Rajani Kumari, P., K. Chenna Kesava Reddy, and K. S. Ramesh. "Hybrid Low Complex near Optimal Detector for Spatial Modulation." International Journal of Electrical and Computer Engineering (IJECE) 7, no. 2 (April 1, 2017): 818. http://dx.doi.org/10.11591/ijece.v7i2.pp818-822.

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In our previous work maximum throughput in multi stream MIMO is analyzed by overcoming the inter antenna interference. To mitigate the Inter antenna interference spatial modulation can be used. Spatial Modulation(SM) aided MIMO systems are the emerging MIMO systems which are low complex and energy efficient. These systems additionally use spatial dimensions for transmitting information. In this paper a low complex detector based on matched filter is proposed for spatial modulation to achieve near maximum likelihood performance while avoiding exhaustive ML search since MF based detector exhibits a considerable reduced complexity since activated transmitting antenna and modulated amplitude phase modulation constellation are estimated separately. Simulation results show the performance of the proposed method with optimal ML detector, MRC and conventional matched filter methods.

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26

Feintuch, P., and N. Bershad. "Matched-Filter Envelope Detector Deflection Performance for a Correlated Phase Channel." IEEE Journal of Oceanic Engineering 12, no. 1 (January 1987): 228–33. http://dx.doi.org/10.1109/joe.1987.1145236.

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27

Weinberg, G. V. "Validity of whitening-matched filter approximation to the Pareto coherent detector." IET Signal Processing 6, no. 6 (2012): 546. http://dx.doi.org/10.1049/iet-spr.2011.0304.

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28

Känsäkoski, M., O. Voutilainen, and T. Seppänen. "The Performance of near Infrared Analysers Can Be Improved by Digital Filtering Techniques." Journal of Near Infrared Spectroscopy 6, no. 1 (January 1998): 97–104. http://dx.doi.org/10.1255/jnirs.126.

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On-line near infrared (NIR) analysers are used widely for quantitative composition measurements in real-time process control systems. The accuracy and repeatability of the measurements are amongst the most important factors when evaluating the total performance of these analysers, but the lower detection limit is often limited by noise in the measurement signal. There are two major alternatives for reducing noise in an optical analyser: prevention of noise contamination and post-processing of the signal by filtering. In the second alternative, the measurement signal can be post-processed by digital filtering techniques, for example, to enhance the desired signal component. Although digital signal processing (DSP) technology offers many advantages for on-line process measurements, the behaviour of the signal must be understood thoroughly before a successful application of this technology can be developed. A digital filtering technique called matched filter was used in an experimental set-up. The performance of this filter was compared to an analog filtering of a pulse shaped signal. Experimental data were collected and filtered with a novel digital spectrometer which consists of a modulated light source, a spectrograph, a linear array detector and the analog and digital signal processing electronics needed to control and filter the signal. In this case the matched filter gave a clear improvement of 2.2–4.6 dB in the signal-to-noise ratio (SNR) relative to an analog lock-in amplifier. Among the other advantages afforded by digital filters are that they are programmable, easy to design, test and implement on a PC and do not suffer from drift. Also digital filters are extremely stable with respect to both time and temperature and versatile in their ability to process signals in a variety of ways.

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Tarbouche, Simon Wissam, and Abdel-Nasser Assimi. "Performance of OQAM/GFDM in Spatial Multiplexing MIMO Systems." International Journal of Embedded and Real-Time Communication Systems 11, no. 2 (April 2020): 39–57. http://dx.doi.org/10.4018/ijertcs.2020040103.

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Generalized frequency division multiplexing (GFDM) is a prominent candidate to be used by the mobile Fifth Generation (5G) physical layer. Nevertheless, the integration of GFDM with Spatial Multiplexing (SM) MIMO system is essential to fulfill the data rate requirements. SM detection of MIMO-GFDM becomes a more challenging topic because of ICI and ISI due to the non-orthogonal nature of GFDM, along with IAI. In this article, the authors propose a system that combines the Offset-Quadrature Amplitude Modulation (OQAM) with GFDM to mitigate self-induced interference, by using a simple Matched Filter (MF) detector and minimum additional processing at the receiver. Simulation results show a considerable achieved improvement in BER by the proposed OQAM/GFDM compared to QAM/GFDM when using MMSE-based Ordered Successive Interference Cancellation (OSIC) detector. Furthermore, this system is unaffected by the roll-off factor variations of used pulse-shaping filters.

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Robnik, Jakob, and Uroš Seljak. "Matched filtering with non-Gaussian noise for planet transit detections." Monthly Notices of the Royal Astronomical Society 504, no. 4 (April 26, 2021): 5829–39. http://dx.doi.org/10.1093/mnras/stab1178.

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ABSTRACT We develop a method for planet detection in transit data, which is based on the matched filter technique, combined with the Gaussianization of the noise outliers. The method is based on Fourier transforms and is as fast as the existing methods for planet searches. The Gaussianized matched filter (GMF) method significantly outperforms the standard baseline methods in terms of the false positive rate, enabling planet detections at up to 30 per cent lower transit amplitudes. Moreover, the method extracts all the main planet transit parameters, amplitude, period, phase, and duration. By comparison to the state-of-the-art Gaussian process methods on both simulations and real data, we show that all the transit parameters are determined with an optimal accuracy (no bias and minimum variance), meaning that the GMF method can be used for both the initial planet detection and the follow-up planet parameter analysis.

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DUAN, FABING, DEREK ABBOTT, and FRANÇOIS CHAPEAU-BLONDEAU. "THE APPLICATION OF SATURATING DETECTORS TO A DCT-DOMAIN WATERMARKING SCHEME." Fluctuation and Noise Letters 08, no. 01 (March 2008): L65—L79. http://dx.doi.org/10.1142/s0219477508004271.

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The present paper proposes a discrete cosine transform (DCT) domain watermarking scheme by exploiting nonlinear dynamical saturating detectors in the design of a watermark detection process. A binary copyright character, i.e. watermark to be hidden into an image, is firstly reordered into a binary zig-zag sequence, and then mapped onto the pulse amplitude modulated signal. A certain desynchronization time delay can be deliberately placed into one code of the modulated signal, and is tolerated due to the superior robustness of nonlinear detectors over matched filters. A selected set of DCT coefficients of a host image in a mid frequency range is shuffled by the Arnold transform, which makes it look more like background noise with respect to the watermark signal. Then, the watermark signal is embedded in the set of shuffled DCT coefficients. The copyright character can be extracted by a nonlinear saturating detector without prior knowledge of the original image and watermark, i.e. blind watermark detection. Interestingly, a higher match between the original watermark character and the extracted one can be further achieved by a parallel array of nonlinear detectors via the mechanism of array stochastic resonance. Robustness of the proposed watermarking scheme is shown in the presence of noise, filtering, cropping, and compression.

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Du, Pengyu, Lujun Wang, Hongtao Zhang, and Zhe Xie. "Performance analysis of direct-sequence spread-spectrum underwater acoustic communications based on at-sea data." MATEC Web of Conferences 283 (2019): 07006. http://dx.doi.org/10.1051/matecconf/201928307006.

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Direct sequence spread spectrum (DSSS) signal uses phase coherent signals where the information symbols are multiplied with a code sequence, commonly known as chips. The signals are processed at the receiver using the code sequence as a matched filter to extract the information symbols. Taking advantage of the spread processing gain derived from the matched filter, communications can be carried out at low signal levels, which is the preferred method for high quality underwater acoustic (UWA) communication and remote UWA communication. However, in practical applications, DSSS UWA communication will face lots of interferences including multipath interference, Doppler compression interference and phase fluctuation interference, which will seriously affect the performance of DSSS. This paper first analyzes the interferences that DSSS faces in practical applications based on multiple actual received data collected in different water areas. By calculating the gain of the matched filter loss, one can find that influence of phase fluctuation interference has the most serious impact on DSSS. Secondly, the corresponding receiver processing algorithms are given for these interferences, including the differential energy detector and Doppler estimation method. The performance of differential energy detector under the above interferences is analyzed, which shows that the differential energy detector is insensitive to slow phase fluctuation interference and multipath interference and the differential energy detector combined with Doppler compensation can work well based on moving at-sea data. Finally, the parameter design of DSSS system in practical application is discussed and parameter design of DSSS UWA communication system should comprehensively consider the Doppler compression interference and phase fluctuation interference.

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Gerlach, K., and K. J. Sangston. "A sharp false alarm upper-bound for a matched filter bank detector." IEEE Transactions on Information Theory 40, no. 3 (May 1994): 955–60. http://dx.doi.org/10.1109/18.335912.

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Triwicaksono, Dimas, Ashish Rauniyar, and Soo Young Shin. "Cascaded Energy Detector and Matched Filter-Clear Channel Assessment for Wireless Network." Wireless Personal Communications 84, no. 4 (May 17, 2015): 2427–43. http://dx.doi.org/10.1007/s11277-015-2713-7.

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Middleton, R. J. C. "Dechirp-on-Receive Linearly Frequency Modulated Radar as a Matched-Filter Detector." IEEE Transactions on Aerospace and Electronic Systems 48, no. 3 (July 2012): 2716–18. http://dx.doi.org/10.1109/taes.2012.6237622.

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36

Marshall, Martin S. "Sizing opaque spherical particles using classical matched filters and holographic ring detectors." Optical Engineering 31, no. 5 (1992): 947. http://dx.doi.org/10.1117/12.56161.

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37

Caprari, R. S. "Generalized matched filters and univariate Neyman-Pearson detectors for image target detection." IEEE Transactions on Information Theory 46, no. 5 (2000): 1932–37. http://dx.doi.org/10.1109/18.857803.

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Kammoun, Abla, Romain Couillet, Frederic Pascal, and Mohamed-Slim Alouini. "Optimal Design of the Adaptive Normalized Matched Filter Detector Using Regularized Tyler Estimators." IEEE Transactions on Aerospace and Electronic Systems 54, no. 2 (April 2018): 755–69. http://dx.doi.org/10.1109/taes.2017.2766538.

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Rauniyar, Ashish, and Soo Young Shin. "Multiple Antenna-Aided Cascaded Energy and Matched Filter Detector for Cognitive Radio Networks." International Journal of Distributed Sensor Networks 11, no. 9 (January 2015): 175943. http://dx.doi.org/10.1155/2015/175943.

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Joshi, Divya, Neeru Sharma, and Jaskirat Singh. "Spectrum Sensing for Cognitive Radio Using Hybrid Matched Filter Single Cycle Cyclostationary Feature Detector." International Journal of Information Engineering and Electronic Business 7, no. 5 (September 8, 2015): 13–19. http://dx.doi.org/10.5815/ijieeb.2015.05.03.

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Alnwaimi, Ghassan, and Hatem Boujemaa. "Enhanced spectrum sensing using a combination of energy detector, matched filter and cyclic prefix." Digital Communications and Networks 6, no. 4 (November 2020): 534–41. http://dx.doi.org/10.1016/j.dcan.2019.08.009.

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Sharkasi, Youssif Fawzi, Des McLernon, and Mounir Ghogho. "Spectrum Sensing in the Presence of RF Impairments in Cognitive Radio." International Journal of Interdisciplinary Telecommunications and Networking 4, no. 3 (July 2012): 65–78. http://dx.doi.org/10.4018/jitn.2012070105.

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The spectrum detection performance of a matched filter (MF) in the presence of carrier frequency offset (CFO), phase noise (PN) and time offset is analyzed. Detection performance is derived theoretically and confirmed through simulation in the presence of CFO. The results have shown that in the presence of CFO, the MF may be outperformed by an energy detector (ED) over a range of CFO values. The authors propose three spectrum sensing techniques that are robust to CFO. The first technique is called the block-coherent detector (BLCD) with a suboptimal number of blocks (N/2). The second technique is called second-order matched filter-I (SOMF-I), the detection performance of which has been studied both theoretically and confirmed through simulation. The last technique is named the second-order matched filter-II (SOMF-II) and is a modified version of (SOMF-I) but with a superior performance. The presence of PN and time offset and their effect on the detection performance is then examined via simulation. The results have shown that PN has not affected the detection performance of SOMF-I and has only a slight effect on the MF performance. But the time offset has seriously degrades the MF, ED and SOMF-I. Also, the results have shown that the performance of SOMF-I is much less affected by noise uncertainty compared to the ED. Finally, the throughput of SOMF-I has been studied in the presence of CFO and the results have shown that its performance is only marginally degraded compared to the MF.

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Saremi, Saeed, Terrence J. Sejnowski, and Tatyana O. Sharpee. "Double-Gabor Filters Are Independent Components of Small Translation-Invariant Image Patches." Neural Computation 25, no. 4 (April 2013): 922–39. http://dx.doi.org/10.1162/neco_a_00418.

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The analysis of natural images with independent component analysis (ICA) yields localized bandpass Gabor-type filters similar to receptive fields of simple cells in visual cortex. We applied ICA on a subset of patches called position-centered patches, selected for forming a translation-invariant representation of small patches. The resulting filters were qualitatively different in two respects. One novel feature was the emergence of filters we call double-Gabor filters. In contrast to Gabor functions that are modulated in one direction, double-Gabor filters are sinusoidally modulated in two orthogonal directions. In addition the filters were more extended in space and frequency compared to standard ICA filters and better matched the distribution in experimental recordings from neurons in primary visual cortex. We further found a dual role for double-Gabor filters as edge and texture detectors, which could have engineering applications.

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Hao, Hao, Qing-Yuan Zhao, Ling-Dong Kong, Shi Chen, Hui Wang, Yang-Hui Huang, Jia-Wei Guo, et al. "Improved pulse discrimination for a superconducting series nanowire detector by applying a digital matched filter." Applied Physics Letters 119, no. 23 (December 6, 2021): 232601. http://dx.doi.org/10.1063/5.0068449.

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Yarbrough, Allan W., Michael J. Mendenhall, Richard K. Martin, and Steven T. Fiorino. "Hyperspectral-Based Adaptive Matched Filter Detector Error as a Function of Atmospheric Water Vapor Estimation." IEEE Transactions on Geoscience and Remote Sensing 52, no. 4 (April 2014): 2029–39. http://dx.doi.org/10.1109/tgrs.2013.2257797.

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Yin, Zhendong, Yunsheng Kuang, Zhilu Wu, and Wenyan Tang. "A hybrid multiuser detector for DS-UWB systems with matched filter and error-bit recognizer." Journal of the Chinese Institute of Engineers 35, no. 8 (December 2012): 1003–12. http://dx.doi.org/10.1080/02533839.2012.725894.

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Yu, Lei, Yue Qi, Mingliang Xia, and Li Xuan. "Retinal vessel extraction by means of motion contrast, matched filter and combined corner-edge detector." Optics Communications 318 (May 2014): 17–25. http://dx.doi.org/10.1016/j.optcom.2013.12.048.

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Taylor, Steven R., Stephen J. Arrowsmith, and Dale N. Anderson. "Development of a matched filter detector for acoustic signals at local distances from small explosions." Journal of the Acoustical Society of America 134, no. 1 (July 2013): EL84—EL90. http://dx.doi.org/10.1121/1.4809779.

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Bakheet, Samy, Shtwai Alsubai, Abdullah Alqahtani, and Adel Binbusayyis. "Robust Fingerprint Minutiae Extraction and Matching Based on Improved SIFT Features." Applied Sciences 12, no. 12 (June 16, 2022): 6122. http://dx.doi.org/10.3390/app12126122.

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Minutiae feature extraction and matching are not only two crucial tasks for identifying fingerprints, but also play an eminent role as core components of automated fingerprint recognition (AFR) systems, which first focus primarily on the identification and description of the salient minutiae points that impart individuality to each fingerprint and differentiate one fingerprint from another, and then matching their relative placement in a candidate fingerprint and previously stored fingerprint templates. In this paper, an automated minutiae extraction and matching framework is presented for identification and verification purposes, in which an adaptive scale-invariant feature transform (SIFT) detector is applied to high-contrast fingerprints preprocessed by means of denoising, binarization, thinning, dilation and enhancement to improve the quality of latent fingerprints. As a result, an optimized set of highly-reliable salient points discriminating fingerprint minutiae is identified and described accurately and quickly. Then, the SIFT descriptors of the local key-points in a given fingerprint are matched with those of the stored templates using a brute force algorithm, by assigning a score for each match based on the Euclidean distance between the SIFT descriptors of the two matched keypoints. Finally, a postprocessing dual-threshold filter is adaptively applied, which can potentially eliminate almost all the false matches, while discarding very few correct matches (less than 4%). The experimental evaluations on publicly available low-quality FVC2004 fingerprint datasets demonstrate that the proposed framework delivers comparable or superior performance to several state-of-the-art methods, achieving an average equal error rate (EER) value of 2.01%.

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Huang, Yao, and Ji Ping Li. "A Simplified Receiver Design for SOQPSK-TG." Applied Mechanics and Materials 687-691 (November 2014): 4076–79. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.4076.

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We develop a reduced-complexity approach to the detection of SOQPSK-TG, a highly bandwidth-efficient constant-envelope waveform. The optimal detector for SOQPSK-TG requires of a bank of 2784 matched filters and 512 states, which is impractical and highly complex. In this paper, a practical detector was developed based on Laurent decomposition and frequency pulse truncation (PT) technology, with the number of correlators reduced to only 2 and states reduced to 4 at the expanse of less than 0.2dB at BER of 10-4.

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