Relevant bibliographies by topics / Clutter echoe

Academic literature on the topic 'Clutter echoe'

Author: Grafiati
Published: 14 March 2023

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Contents

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Clutter echoe.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Clutter echoe"

1

Lu, Qing Qing, Jie Xin Pu, Xiao Hong Wang, and Zhong Hua Liu. "A Clutter Suppression Algorithm for GPR Data Based on PCA Combining with Gradient Magnitude." Applied Mechanics and Materials 644-650 (September 2014): 1662–67. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.1662.

Full text
Abstract:
Ground penetrating radar (GPR) is a powerful tool for detecting defects behind reinforced concrete (RC) structures. However, the received data from GPR includes a large number of clutters which are easy overwhelming the signal of target. In order to successfully extract the target signature, these clutters effects need to be eliminated. In this article, a clutter suppression algorithm based on Principal Component Analysis (PCA) combining with gradient magnitude is presented. PCA clutter suppression algorithm is applied to the data and removes most of the echoes from ground surface and portion of other clutters with weak energy. Then gradient magnitude clutter suppression is used to remove majority of the residue clutters. It is demonstrated from simulation that the proposed algorithm is able to significantly suppress the clutters and is superior to the PCA clutter suppression, magnitude clutter suppression and means subtraction method.
APA, Harvard, Vancouver, ISO, and other styles
2

Hubbert, J. C., M. Dixon, and S. M. Ellis. "Weather Radar Ground Clutter. Part II: Real-Time Identification and Filtering." Journal of Atmospheric and Oceanic Technology 26, no. 7 (July 1, 2009): 1181–97. http://dx.doi.org/10.1175/2009jtecha1160.1.

Full text
Abstract:
Abstract The identification and mitigation of anomalous propagation (AP) and normal propagation (NP) ground clutter is an ongoing problem in radar meteorology. Scatter from ground-clutter targets routinely contaminates radar data and masks weather returns causing poor data quality. The problem is typically mitigated by applying a clutter filter to all radar data, but this also biases weather data at near-zero velocity. Modern radar processors make possible the real-time identification and filtering of AP clutter. A fuzzy logic algorithm is used to distinguish between clutter echoes and precipitation echoes and, subsequently, a clutter filter is applied to those radar resolution volumes where clutter is present. In this way, zero-velocity weather echoes are preserved while clutter echoes are mitigated. Since the radar moments are recalculated from clutter-filtered echoes, the underlying weather echo signatures are revealed, thereby significantly increasing the visibility of weather echo. This paper describes the fuzzy logic algorithm, clutter mitigation decision (CMD), for clutter echo identification. A new feature field, clutter phase alignment (CPA), is introduced and described. A detailed discussion of CPA is given in Part I of this paper. The CMD algorithm is illustrated with experimental data from the Denver Next Generation Weather Radar (NEXRAD) at the Denver, Colorado, Front Range Airport (KFTG); and NCAR’s S-band dual-polarization Doppler radar (S-Pol).
APA, Harvard, Vancouver, ISO, and other styles
3

Xu, Yong, Tao Jia, Dong Cao, Pengyu Guo, Yue Ma, and Hongtao Yan. "Adaptive Clustering-Based Marine Radar Sea Clutter Normalization." Journal of Sensors 2021 (October 22, 2021): 1–11. http://dx.doi.org/10.1155/2021/2938251.

Full text
Abstract:
Radar sea clutters are echoes reflected from a patch of ocean surface, which may significantly interfere with the signals from targets, and seriously degrade the performance of marine radar remote sensing. Thus, it is vital to eliminate the effects of sea clutter. In this paper, we aim at normalizing sea clutter to a uniform level. Firstly, a detailed analysis about the characteristics and differences of clutter and targets is presented; then, we present a heuristic processing scheme which works by solving the task of sea clutter normalization as a classification problem followed by energy normalization. Multiscale and speed-up strategies are incorporated into the dynamic clustering algorithm to found a robust real-time normalization method. Finally, extensive experiments show state-of-the-art results on challenging sea clutter echoes, which demonstrate the feasibility and robustness of the proposed adaptive clustering normalization method.
APA, Harvard, Vancouver, ISO, and other styles
4

Zhang, Xin, Qiang Yang, and Weibo Deng. "Weak Target Detection within the Nonhomogeneous Ionospheric Clutter Background of HFSWR Based on STAP." International Journal of Antennas and Propagation 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/382516.

Full text
Abstract:
High Frequency Surface Wave Radar (HFSWR) can perform the functions of ocean environment monitoring, target detection, and target tracking over the horizon. However, its system's performance is always limited by the severe ionospheric clutter environment, especially by the nonhomogeneous component. The nonhomogeneous ionospheric clutter generally can cover a few Doppler shift units and a few angle units. Consequently, weak targets masked by the nonhomogeneous ionospheric clutter are difficult to be detected. In this paper, a novel algorithm based on angle-Doppler joint eigenvector which considers the angle-Doppler map of radar echoes is adopted to analyze the characteristics of the nonhomogeneous ionospheric clutter. Given the measured data set, we first investigate the correlation between the signal of interest (SOI) and the nonhomogeneous ionospheric clutter and then the correlation between the nonhomogeneous ionospheric clutters in different two ranges. Finally, a new strategy of training data selection is proposed to improve the joint domain localised (JDL) algorithm. Simulation results show that the improved-JDL algorithm is effective and the performance of weak target detection within nonhomogeneous ionospheric clutter is improved.
APA, Harvard, Vancouver, ISO, and other styles
5

Hubbert, J. C., M. Dixon, S. M. Ellis, and G. Meymaris. "Weather Radar Ground Clutter. Part I: Identification, Modeling, and Simulation." Journal of Atmospheric and Oceanic Technology 26, no. 7 (July 1, 2009): 1165–80. http://dx.doi.org/10.1175/2009jtecha1159.1.

Full text
Abstract:
Abstract Real-time ground-clutter identification and subsequent filtering of clutter-contaminated data is addressed in this two-part paper. Part I focuses on the identification, modeling, and simulation of S-band ground-clutter echo. A new clutter identification parameter, clutter phase alignment (CPA), is presented. CPA is a measure primarily of the phase variability of the in-phase and quadrature-phase time series samples for a given radar resolution volume. CPA is also a function of amplitude variability of the time series. It is shown that CPA is an excellent discriminator of ground clutter versus precipitation echoes. A typically used weather model, time series simulator is shown to inadequately describe experimentally observed CPA. Thus, a new technique for the simulation of ground-clutter echo is developed that better predicts the experimentally observed CPA. Experimental data from the Denver Next Generation Weather Radar (NEXRAD) at the Denver, Colorado, Front Range Airport (KFTG), and NCAR’s S-band dual-polarization Doppler radar (S-Pol) are used to illustrate CPA. In Part II, CPA is used in a fuzzy logic algorithm for improved clutter identification.
APA, Harvard, Vancouver, ISO, and other styles
6

Ming, Chen, Stephanie Haro, Andrea Megela Simmons, and James A. Simmons. "A comprehensive computational model of animal biosonar signal processing." PLOS Computational Biology 17, no. 2 (February 17, 2021): e1008677. http://dx.doi.org/10.1371/journal.pcbi.1008677.

Full text
Abstract:
Computational models of animal biosonar seek to identify critical aspects of echo processing responsible for the superior, real-time performance of echolocating bats and dolphins in target tracking and clutter rejection. The Spectrogram Correlation and Transformation (SCAT) model replicates aspects of biosonar imaging in both species by processing wideband biosonar sounds and echoes with auditory mechanisms identified from experiments with bats. The model acquires broadband biosonar broadcasts and echoes, represents them as time-frequency spectrograms using parallel bandpass filters, translates the filtered signals into ten parallel amplitude threshold levels, and then operates on the resulting time-of-occurrence values at each frequency to estimate overall echo range delay. It uses the structure of the echo spectrum by depicting it as a series of local frequency nulls arranged regularly along the frequency axis of the spectrograms after dechirping them relative to the broadcast. Computations take place entirely on the timing of threshold-crossing events for each echo relative to threshold-events for the broadcast. Threshold-crossing times take into account amplitude-latency trading, a physiological feature absent from conventional digital signal processing. Amplitude-latency trading transposes the profile of amplitudes across frequencies into a profile of time-registrations across frequencies. Target shape is extracted from the spacing of the object’s individual acoustic reflecting points, or glints, using the mutual interference pattern of peaks and nulls in the echo spectrum. These are merged with the overall range-delay estimate to produce a delay-based reconstruction of the object’s distance as well as its glints. Clutter echoes indiscriminately activate multiple parts in the null-detecting system, which then produces the equivalent glint-delay spacings in images, thus blurring the overall echo-delay estimates by adding spurious glint delays to the image. Blurring acts as an anticorrelation process that rejects clutter intrusion into perceptions.
APA, Harvard, Vancouver, ISO, and other styles
7

Hui, Jian Xin, Lei Wu, Yu Chun Gao, and Jie Zhou. "A Spectral Moment Estimation Method for Wind Profile Radar." Advanced Materials Research 179-180 (January 2011): 740–45. http://dx.doi.org/10.4028/www.scientific.net/amr.179-180.740.

Full text
Abstract:
Spectrum in the wind profile radar data processing, radar detection of low-level spectral data from the library there are usually clutter, intermittent clutter, clutter and atmospheric echoes magnetic mixed overlap situation. In order to effectively restrain and remove clutter and increase the wind profile radar detection range and accuracy, must be on the air back to the effective spectrum of the spectral moments estimation. Based on the wind profile radar Doppler echo power spectral analysis, maximum likelihood method based on estimated spectral data of radar echo spectrum method using MATLAB simulation analysis , compared with the conventional method of analysis to verify the feasibility and effectiveness of the algorithm, also, try the algorithm is applied to the complexity of the weather with a strong interference case of precipitation particles; Data analysis showed that the actual detection, from the library in the lower spectrum moment estimation has been improved significantly.
APA, Harvard, Vancouver, ISO, and other styles
8

Jensen, M. E., L. A. Miller, and J. Rydell. "Detection of prey in a cluttered environment by the northern bat Eptesicus nilssonii." Journal of Experimental Biology 204, no. 2 (January 15, 2001): 199–208. http://dx.doi.org/10.1242/jeb.204.2.199.

Full text
Abstract:
We studied the acoustic behaviour of bats (Eptesicus nilssonii) hunting for large (wing span 5 cm) non-hearing hepialid moths (Hepialus humuli). Groups of silvery-white male H. humuli perform a short (30 min) hovering display flight over grassland at dusk. They typically hover at, or below, the tops of grass panicles and are therefore situated in a highly acoustically cluttered habitat. Occasionally, they move to a new position by making short (1–5 s) flights at higher levels. E. nilssonii is not a clutter specialist, and yet we found that they attacked H. humuli within the ‘clutter overlap zone’. The bats did not change their signal design in any marked manner for this specific task. Measurements of echoes from a moth 10 cm above or below the grass tops showed that information for detecting the moths was available to the bats. Nevertheless, the bats did not attack moths in stationary hovering display flight, only when they moved above the grass panicles. The duration of the up/down flights (movements) were almost always longer than an entire capture sequence by the bats. Apparently, the bats rely on the movement of the moth in space, monitored over successive echoes, to discriminate moth echoes from overlapping clutter echoes.
APA, Harvard, Vancouver, ISO, and other styles
9

Oh, Young-A., Hae-Lim Kim, and Mi-Kyung Suk. "Clutter Elimination Algorithm for Non-Precipitation Echo of Radar Data Considering Meteorological and Observational Properties in Polarimetric Measurements." Remote Sensing 12, no. 22 (November 18, 2020): 3790. http://dx.doi.org/10.3390/rs12223790.

Full text
Abstract:
Non-precipitation echoes due to ground and sea clutter, chaff, anomalous propagation, biological targets, and interference in weather radar observations are major issues causing a decline in the accuracy of meteorological and hydrological applications based on radar data. Statistically based quality control techniques using polarimetric variables have improved the accuracy of radar echo classification, however their performance is affected by attenuation, nonuniform beam filling, and hydrometeor diversity as well as terrain blockage, beam broadening, and noise correction issues due to the quality degradation of polarimetric measurements. To address this, a new quality control algorithm, named clutter elimination algorithm for non-precipitation echo of radar data (CLEANER), was designed by employing independent feature parameters and variable classification conditions with spatial and temporal observation environments to adapt to these meteorological artifacts and observational limitations. CLEANER was applied to several precipitation cases with various non-precipitation echoes, showing improved performance compared with results from the fuzzy logic-based quality control algorithm in terms of non-precipitation echo removal as well as in precipitation echo conservation. In addition, CLEANER shows better computational efficiency and robustness, as well as an excellent expandability for different radar networks.
APA, Harvard, Vancouver, ISO, and other styles
10

Sud, Seema. "Noise and Interference Suppression in Sonar Echoes Using the Fractional Fourier Transform." European Journal of Engineering Research and Science 2, no. 7 (July 25, 2017): 40. http://dx.doi.org/10.24018/ejers.2017.2.7.422.

Full text
Abstract:
The Fractional Fourier Transform (FrFT) enables separation of signals from noise and interference by utilizing the entire time-frequency space. Signals are filtered by rotating to a new time axis ‘ta’, with rotational parameter ‘a’, selected using some metric such as mean-square error (MSE) between a desired signal-of-interest (SOI) and its estimate. The FrFT has been applied to numerous problems, but it is most suited for applications such as sonar and radar, when the time-frequency distribution of the SOI and the undesired environment are different. It can greatly outperform the conventional fast Fourier Transform (FFT), which is solely a frequency domain method (a=1), as well as conventional time-based MMSE adaptive filtering (a=0). In this paper, we present a simple FrFT-based algorithm that separates sonar echoes of a desired SOI, e.g. a chirp, from the cluttered background, which could be noise or interference (i.e. another signal). We exploit the fact that we can find the best time axis ‘ta’ in which the SOI becomes a tone, or close to it, with the FrFT, enabling easy notching (zeroing) of the clutter. By searching for the tone peak and notching everywhere except the peak, we can successfully and easily remove the clutter. This algorithm is robust because clutter typically does not correlate with the signal in the FrFT domain, and thus does not impair our ability to estimate the peaks and notch the clutter. We compute the MSE between the true transmitted signal and the received echo with and without this algorithm as a function of signal-to-noise ratio (SNR) and show that 5 dB reduction in MSE is possible with the FrFT.
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Clutter echoe"

1

BERTOLDO, SILVANO. "X-band mini weather radar network and other wireless sensor networks for environmental monitoring." Doctoral thesis, Politecnico di Torino, 2014. http://hdl.handle.net/11583/2535714.

Full text
Abstract:
The main section of the present Ph. D. thesis is related to X-band radars. Since 2005 the Remote Sensing Group of Department of Electronics and Telecommunications of Politecnico di Torino developed an X-band mini weather radar as a standalone sensor to measure rain. Some early results have been presented until 2011 showing the proper functioning and it has been decided to realize an experimental and operative integrated network of X-band radar devoted to rain measurement. The network structure deployed during the Ph. D. period is presented, together with the analysis, the study and the realizations of some operative services, calibration procedures (including Quantitative Precipitation Estimation, QPE) and software and applications developed for the institutions which support the network realizations. The design of an innovative and low cost method to check the radar stability and proper functioning is presented: by simply acquiring a large number of ground clutter echoes during clear sky days and computing some analysis, it is shown it is possible to identify some statistical indicators that allow users and radar operators to know if the radar equipments suffered some degradations of failure. The second part of the thesis is dedicated to Wireless Sensor Networks (WSNs). After a study on WSN technologies for environmental monitoring, a first developed prototypal DGPS network is presented. Using the same multipurpose node designed for such network (or its updated releases with very small differences) and varying only their firmware, other two prototypal and fully operative WSNs are described. The designed choices are described for what concern both hardware and software.
APA, Harvard, Vancouver, ISO, and other styles
2

Jones, Benjamin A. "Echo Statistics of Aggregations of Scatterers in a Random Waveguide Application to Biologic Sonar Clutter." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/17381.

Full text
Abstract:
Approved for public release; distribution is unlimited
Reverberation, echoes from the water column boundaries and non-target scatterers within the water column, often limits active sonar system performance. Fish can constitute a significant portion of sonar reverberation under certain conditions, such as a horizontally looking sonar system operating at mid-frequencies (19 kilohertz), where scattering by fish with resonant gas-filled swimbladders can dominate over bottom or surface reverberation. This study examines the contributions of various elements of an active sonar system ensonifying aggregations of water column scatterers to determine relative contributions of various physical factors to producing target-like echoes (i.e., clutter). Elements of the system that are considered include 1) a shallow-water waveguide, 2) a stochastic, range-dependent sound-speed profile, 3) a directional acoustic source, 4) a variable scattering response, and 5) an extended scattering volume. Numerical modeling predictions are compared with analytical models and observations. Modeling is validated with long-range, broadband (1.5 to 5 kilohertz) sonar measurements of aggregations of fish in the Gulf of Maine. Key results include the classification of a mixed assemblage of swimbladder-bearing fish, with target-sized aggregations, that produce a significant number of echoes that are at least 15 decibels above background levels. These sparsely distributed scatterers produce highly non-Rayleigh distributions of echo magnitudes that are well-modeled by a computationally efficient, physics-based model.
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Clutter echoe"

1

D., Venu, and N. V. Koteswara Rao. "A Computational Statistics Review for Low Complexity Clutter Cancellation for Passive Bi-Static Radar." In Methodologies and Applications of Computational Statistics for Machine Intelligence, 142–63. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7701-1.ch008.

Full text
Abstract:
Direct signal, clutter, and multipath echoes are received along with surveillance signal in passive bi-static radars. These signals degrade the target detection capability of the radar processing algorithm and thus require additional processing to achieve a decent performance. Different clutter and multipath cancellation algorithms are devised for removal of unwanted signals. These algorithms require different computational complexity to provide different level of clutter cancellation. This chapter reviews different clutter cancellation techniques and compares their performance based on the computational complexity. This performance comparison allows understanding the computation load put up by different clutter cancellation techniques and ultimately the response rate of the radar system while maintaining decent target detection.
APA, Harvard, Vancouver, ISO, and other styles
2

Vu Hop, Tran, Nguyen Van Loi, Pham Van Tien, and Phung Dinh Thang. "A Discrete Clutter Reduction Method for Drone Detection with High Resolution Radars." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2022. http://dx.doi.org/10.3233/faia220543.

Full text
Abstract:
The paper deals with a problem of noise reduction for drone detection with high range resolution radars. The considered discrete clutter includes land vehicles, birds, etc. This clutter involves in the radar echo signals and could not be rejected by using classical methods, for example moving target indicator (MTI) and moving target detection (MTD). As a result, this clutter forms the false alarms on the radar screen. To reduce clutter we propose a new method which is based on the target’s Doppler dispersion and moving characteristic. The study is integrated on a drone detection radar and is tested with a variety of drones in different moving scenarios. The test results show that the proposed method achieves a better performance than that one recently published.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Clutter echoe"

1

de Wolf, D. A. "Extraction of rain parameters from ground-clutter echoes." In Ninth International Conference on Antennas and Propagation (ICAP). IEE, 1995. http://dx.doi.org/10.1049/cp:19950444.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

TAN, Hui, and Hui-Zi LI. "Simulation of Radar Echo When Sea Clutter is Added." In 2018 IEEE Asia-Pacific Conference on Antennas and Propagation (APCAP). IEEE, 2018. http://dx.doi.org/10.1109/apcap.2018.8538258.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Wang Kun-zhe, Zhou Jian-xiong, Chen Zhen-long, and Lu Zai-qi. "Calibration of average scattering coefficients of clutter from radar baseband echo." In 2013 2nd International Conference on Measurement, Information and Control (ICMIC). IEEE, 2013. http://dx.doi.org/10.1109/mic.2013.6758014.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Herique, Alain, Wlodek Kofman, Jeremie Mouginot, Cyril Grima, Christelle Eyraud, Ali Safaelini, and Jean Francois Nouvel. "Surface echo reduction by clutter simulation, application to the Marsis data." In 2009 IEEE Radar Conference. IEEE, 2009. http://dx.doi.org/10.1109/radar.2009.4976952.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Li, Yinguang, Guifu Zhang, and Richard J. Doviak. "A new approach to detect the ground clutter mixed with weather echoes." In 2011 IEEE Radar Conference (RadarCon). IEEE, 2011. http://dx.doi.org/10.1109/radar.2011.5960612.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Renbiao Wu, Hai Li, and Yanfei Han. "Adaptive ground clutter suppression for airborne weather radar based on echoes power." In IET International Radar Conference 2013. Institution of Engineering and Technology, 2013. http://dx.doi.org/10.1049/cp.2013.0313.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Bokov, Alexander, and Valery Slizkoy. "Generation of Radar Ground Clutter Echoes with Jakes' Doppler Spectrum on FPGA." In 2022 Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT). IEEE, 2022. http://dx.doi.org/10.1109/usbereit56278.2022.9923348.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Zhan Xu, Jianwei Wan, Fang Su, and Yanbo Xue. "Analysis of detecting target in sea clutter using decoupled echo state network." In 2012 IEEE 3rd International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2012. http://dx.doi.org/10.1109/icsess.2012.6269512.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Pernstal, Thomas, Roland Jonsson, and Klas Alenljung. "RELAX based estimation of signal and clutter echoes modeled as discrete point scatterers." In 2010 IEEE International Radar Conference. IEEE, 2010. http://dx.doi.org/10.1109/radar.2010.5494585.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Lee, Myung-Jun, Ji-Eun Kim, Sang-Min Lee, Bo-Hyun Ryu, Kyung-Tae Kim, and Hyeon-Mu Jeon. "A Study on Modeling of Sea Clutter Echo for Short Time of Measurement." In 2019 8th Asia-Pacific Conference on Antennas and Propagation (APCAP). IEEE, 2019. http://dx.doi.org/10.1109/apcap47827.2019.9472152.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Clutter echoe"

1

Ellis, Dale D. Measurements and Analysis of Reverberation, Target Echo, and Clutter. Fort Belvoir, VA: Defense Technical Information Center, September 2006. http://dx.doi.org/10.21236/ada611895.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Ellis, Dale D. Measurements and Analysis of Reverberation, Target Echo, and Clutter. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada541752.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Simmons, James A., Edward G. Freedman, Scott B. Stevenson, Lynda Chen, and Timothy J. Wohlgemant. Clutter Interference and the Integration Time of Echoes in the Echolocating Bat, Eptesicus fuscus. Fort Belvoir, VA: Defense Technical Information Center, July 1988. http://dx.doi.org/10.21236/ada205680.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Ellis, Dale D. Modeling and Analysis of Target Echo and Clutter in Range-Dependent Bistatic Environments: FY12 Annual Report for ONR. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada574838.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Ellis, Dale D. Modeling and Analysis of Target Echo and Clutter in Range-Dependent Bistatic Environments: FY13 Annual Report for ONR. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada598315.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Ellis, Dale D. Modeling and Analysis of Target Echo and Clutter in Range-Dependent Bistatic Environments: FY14 Annual Report for ONR. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada618157.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Clutter echoe' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography