Relevant bibliographies by topics / Frequency radar

Academic literature on the topic 'Frequency radar'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "Frequency radar"

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Caffa, Mattia, Francesco Biletta, and Riccardo Maggiora. "Binary-Phase vs. Frequency Modulated Radar Measured Performances for Automotive Applications." Sensors 23, no. 11 (June 1, 2023): 5271. http://dx.doi.org/10.3390/s23115271.

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Radars have been widely deployed in cars in recent years, for advanced driving assistance systems. The most popular and studied modulated waveform for automotive radar is the frequency-modulated continuous wave (FMCW), due to FMCW radar technology’s ease of implementation and low power consumption. However, FMCW radars have several limitations, such as low interference resilience, range-Doppler coupling, limited maximum velocity with time-division multiplexing (TDM), and high-range sidelobes that reduce high-contrast resolution (HCR). These issues can be tackled by adopting other modulated waveforms. The most interesting modulated waveform for automotive radar, which has been the focus of research in recent years, is the phase-modulated continuous wave (PMCW): this modulated waveform has a better HCR, allows large maximum velocity, permits interference mitigation, thanks to codes orthogonality, and eases integration of communication and sensing. Despite the growing interest in PMCW technology, and while simulations have been extensively performed to analyze and compare its performance to FMCW, there are still only limited real-world measured data available for automotive applications. In this paper, the realization of a 1 Tx/1 Rx binary PMCW radar, assembled with connectorized modules and an FPGA, is presented. Its captured data were compared to the captured data of an off-the-shelf system-on-chip (SoC) FMCW radar. The radar processing firmware of both radars were fully developed and optimized for the tests. The measured performances in real-world conditions showed that PMCW radars manifest better behavior than FMCW radars, regarding the above-mentioned issues. Our analysis demonstrates that PMCW radars can be successfully adopted by future automotive radars.
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Roarty, Hugh J., Erick Rivera Lemus, Ethan Handel, Scott M. Glenn, Donald E. Barrick, and James Isaacson. "Performance Evaluation of SeaSonde High-Frequency Radar for Vessel Detection." Marine Technology Society Journal 45, no. 3 (May 1, 2011): 14–24. http://dx.doi.org/10.4031/mtsj.45.3.2.

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AbstractHigh-frequency (HF) surface wave radar has been identified to be a gap-filling technology for Maritime Domain Awareness. Present SeaSonde HF radars have been designed to map surface currents but are able to track surface vessels in a dual-use mode. Rutgers and CODAR Ocean Sensors, Ltd., have collaborated on the development of vessel detection and tracking capabilities from compact HF radars, demonstrating that ships can be detected and tracked by multistatic HF radar in a multiship environment while simultaneously mapping ocean currents. Furthermore, the same vessel is seen simultaneously by the radar based on different processing parameters, mitigating the need to preselect a fixed set and thereby improving detection performance.
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Wang, Dingyang, Sungwon Yoo, and Sung Ho Cho. "Experimental Comparison of IR-UWB Radar and FMCW Radar for Vital Signs." Sensors 20, no. 22 (November 23, 2020): 6695. http://dx.doi.org/10.3390/s20226695.

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In this paper, we compare the performances of impulse radio ultra-wideband (IR-UWB) and frequency modulation continuous wave (FMCW) radars in measuring noncontact vital signs such as respiration rate and heart rate. These two type radars have been widely used in various fields and have shown their applicability to extract vital signs in noncontact ways. IR-UWB radar can extract vital signs using distance information. On the other hand, FMCW radar requires phase information to estimate vital signs, and the result can be enhanced with Multi-input Multi-output (MIMO) antenna topologies. By using commercial radar chipsets, the operation of radars under different conditions and frequency bands will also affect the performance of vital sign detection capabilities. We compared the accuracy and signal-to-noise (SNR) ratios of IR-UWB and FMCW radars in various scenarios, such as distance, orientation, carotid pulse, harmonics, and obstacle penetration. In general, the IR-UWB radars offer a slightly better accuracy and higher SNR in comparison to FMCW radar. However, each radar system has its own unique advantages, with IR-UWB exhibiting fewer harmonics and a higher SNR, while FMCW can combine the results from each channel.
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Frech, Michael, Cornelius Hald, Maximilian Schaper, Bertram Lange, and Benjamin Rohrdantz. "Assessing and mitigating the radar–radar interference in the German C-band weather radar network." Atmospheric Measurement Techniques 16, no. 2 (January 20, 2023): 295–309. http://dx.doi.org/10.5194/amt-16-295-2023.

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Abstract. The national German weather radar network operates in C-band between 5.6 and 5.65 GHz. In a radar network, individual transmit frequencies have to be chosen such that radar–radar-induced interferences are avoided. In a unique experiment the Hohenpeißenberg research radar and five operational systems from the radar network were used to characterize radar–radar-induced interferences as a function of the radar frequency. The results allow assessment of the possibility of adding additional C-band radars with magnetron transmitters into the existing network. Based on the experiment, at least a 15 MHz separation of the nominal radar frequency is needed to avoid a radar–radar interference. The most efficient mitigation of radar–radar interference is achieved by the “Radar Tango”, which refers to the synchronized scanning of all radar systems in the network. Based on those results, additional C-band radar systems can be added to the German weather radar network if a further improvement of the radar coverage is needed.
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Yang, Jian, Zengtian Chang, Dongchu Su, Chenyong Li, Siwei Luo, BoWei Chang, and Lu Qiang. "Influence of Public Mobile Communication System on the Frequency of S-Band Radars." Journal of Physics: Conference Series 2196, no. 1 (February 1, 2022): 012031. http://dx.doi.org/10.1088/1742-6596/2196/1/012031.

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Abstract Given the interference between public mobile communication system and S-band radars, an applicable interference analysis model was established, the typical frequency parameters of radar and the key parameters of the base station were sorted out, the radiation parameters of the mobile terminal (MT) were tested practically, and the interferences of the base station and MT to radar were calculated. Further, the Monte Carlo method was taken to simulate the system-level lumped interference of the communication system to radar, and an analysis was made on the influence of the communication system on the frequency of radar. The results revealed that the public mobile communication system had severe lumped interference with radar, which may affect radar frequency. Therefore, it is necessary to take measures to protect radar.
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Muaaz, Muhammad, Sahil Waqar, and Matthias Pätzold. "Orientation-Independent Human Activity Recognition Using Complementary Radio Frequency Sensing." Sensors 23, no. 13 (June 22, 2023): 5810. http://dx.doi.org/10.3390/s23135810.

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RF sensing offers an unobtrusive, user-friendly, and privacy-preserving method for detecting accidental falls and recognizing human activities. Contemporary RF-based HAR systems generally employ a single monostatic radar to recognize human activities. However, a single monostatic radar cannot detect the motion of a target, e.g., a moving person, orthogonal to the boresight axis of the radar. Owing to this inherent physical limitation, a single monostatic radar fails to efficiently recognize orientation-independent human activities. In this work, we present a complementary RF sensing approach that overcomes the limitation of existing single monostatic radar-based HAR systems to robustly recognize orientation-independent human activities and falls. Our approach used a distributed mmWave MIMO radar system that was set up as two separate monostatic radars placed orthogonal to each other in an indoor environment. These two radars illuminated the moving person from two different aspect angles and consequently produced two time-variant micro-Doppler signatures. We first computed the mean Doppler shifts (MDSs) from the micro-Doppler signatures and then extracted statistical and time- and frequency-domain features. We adopted feature-level fusion techniques to fuse the extracted features and a support vector machine to classify orientation-independent human activities. To evaluate our approach, we used an orientation-independent human activity dataset, which was collected from six volunteers. The dataset consisted of more than 1350 activity trials of five different activities that were performed in different orientations. The proposed complementary RF sensing approach achieved an overall classification accuracy ranging from 98.31 to 98.54%. It overcame the inherent limitations of a conventional single monostatic radar-based HAR and outperformed it by 6%.
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Silva, Murilo Teixeira, Weimin Huang, and Eric W. Gill. "Bistatic High-Frequency Radar Cross-Section of the Ocean Surface with Arbitrary Wave Heights." Remote Sensing 12, no. 4 (February 18, 2020): 667. http://dx.doi.org/10.3390/rs12040667.

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The scattering theory developed in the past decades for high-frequency radio oceanography has been restricted to surfaces with small heights and small slopes. In the present work, the scattering theory for bistatic high-frequency radars is extended to ocean surfaces with arbitrary wave heights. Based on recent theoretical developments in the scattering theory for ocean surfaces with arbitrary heights for monostatic radars, the electric field equations for bistatic high-frequency radars in high sea states are developed. This results in an additional term related to the first-order electric field, which is only present when the small-height approximation is removed. Then, the radar cross-section for the additional term is derived and simulated, and its impact on the total radar cross-section at different radar configurations, dominant wave directions, and sea states is assessed. The proposed term is shown to impact the total radar cross-section at high sea states, dependent on radar configuration and dominant wave direction. The present work can contribute to the remote sensing of targets on the ocean surface, as well as the determination of the dominant wave direction of the ocean surface at high sea states.
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Mroz, Kamil, Alessandro Battaglia, Cuong Nguyen, Andrew Heymsfield, Alain Protat, and Mengistu Wolde. "Triple-frequency radar retrieval of microphysical properties of snow." Atmospheric Measurement Techniques 14, no. 11 (November 17, 2021): 7243–54. http://dx.doi.org/10.5194/amt-14-7243-2021.

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Abstract. An algorithm based on triple-frequency (X, Ka, W) radar measurements that retrieves the size, water content and degree of riming of ice clouds is presented. This study exploits the potential of multi-frequency radar measurements to provide information on bulk snow density that should underpin better estimates of the snow characteristic size and content within the radar volume. The algorithm is based on Bayes' rule with riming parameterised by the “fill-in” model. The radar reflectivities are simulated with a range of scattering models corresponding to realistic snowflake shapes. The algorithm is tested on multi-frequency radar data collected during the ESA-funded Radar Snow Experiment For Future Precipitation Mission. During this campaign, in situ microphysical probes were mounted on the same aeroplane as the radars. This nearly perfectly co-located dataset of the remote and in situ measurements gives an opportunity to derive a combined multi-instrument estimate of snow microphysical properties that is used for a rigorous validation of the radar retrieval. Results suggest that the triple-frequency retrieval performs well in estimating ice water content (IWC) and mean mass-weighted diameters obtaining root-mean-square errors of 0.13 and 0.15, respectively, for log 10IWC and log 10Dm. The retrieval of the degree of riming is more challenging, and only the algorithm that uses Doppler information obtains results that are highly correlated with the in situ data.
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Parent du Chatelet, Jacques, Chiraz Boudjabi, Lucas Besson, and Olivier Caumont. "Errors Caused by Long-Term Drifts of Magnetron Frequencies for Refractivity Measurement with a Radar: Theoretical Formulation and Initial Validation." Journal of Atmospheric and Oceanic Technology 29, no. 10 (October 1, 2012): 1428–34. http://dx.doi.org/10.1175/jtech-d-12-00070.1.

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Abstract Refractivity measurements in the boundary layer by precipitation radar could be useful for convection prediction. Until now such measurements have only been performed by coherent radars, but European weather radars are mostly equipped with noncoherent magnetron transmitters for which the phase and frequency may vary. In this paper, the authors give an analytical expression of the refractivity measurement by a noncoherent drifting-frequency magnetron radar and validate it by comparing with in situ measurements. The main conclusion is that, provided the necessary corrections are applied, the measurement can be successfully performed with a noncoherent radar. The correction factor mainly depends on the local-oscillator frequency variation, which is known perfectly. A second-order error, proportional to the transmitted frequency variation, can be neglected as long as this change remains small.
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Leinonen, Jussi, Matthew D. Lebsock, Simone Tanelli, Ousmane O. Sy, Brenda Dolan, Randy J. Chase, Joseph A. Finlon, Annakaisa von Lerber, and Dmitri Moisseev. "Retrieval of snowflake microphysical properties from multifrequency radar observations." Atmospheric Measurement Techniques 11, no. 10 (October 5, 2018): 5471–88. http://dx.doi.org/10.5194/amt-11-5471-2018.

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Abstract. We have developed an algorithm that retrieves the size, number concentration and density of falling snow from multifrequency radar observations. This work builds on previous studies that have indicated that three-frequency radars can provide information on snow density, potentially improving the accuracy of snow parameter estimates. The algorithm is based on a Bayesian framework, using lookup tables mapping the measurement space to the state space, which allows fast and robust retrieval. In the forward model, we calculate the radar reflectivities using recently published snow scattering databases. We demonstrate the algorithm using multifrequency airborne radar observations from the OLYMPEX–RADEX field campaign, comparing the retrieval results to hydrometeor identification using ground-based polarimetric radar and also to collocated in situ observations made using another aircraft. Using these data, we examine how the availability of multiple frequencies affects the retrieval accuracy, and we test the sensitivity of the algorithm to the prior assumptions. The results suggest that multifrequency radars are substantially better than single-frequency radars at retrieving snow microphysical properties. Meanwhile, triple-frequency radars can retrieve wider ranges of snow density than dual-frequency radars and better locate regions of high-density snow such as graupel, although these benefits are relatively modest compared to the difference in retrieval performance between dual- and single-frequency radars. We also examine the sensitivity of the retrieval results to the fixed a priori assumptions in the algorithm, showing that the multifrequency method can reliably retrieve snowflake size, while the retrieved number concentration and density are affected significantly by the assumptions.
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Dissertations / Theses on the topic "Frequency radar"

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Geladakis, Dimitrios N. "Comparison of the step frequency radar with the conventional constant frequency radars." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1996. http://handle.dtic.mil/100.2/ADA328272.

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Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, December 1996.
"December 1996." Thesis advisor(s): Gurnam S. Gill. Includes bibliographical references (p. 45). Also available online.
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Aytun, Alper. "Frequency diverse array radar." Thesis, Monterey, California. Naval Postgraduate School, 2010. http://hdl.handle.net/10945/5113.

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Approved for public release; distribution is unlimited
Electronic scanning is the most desirable feature of state-of-the-art radar systems. With electronic scanning, it is possible to steer the main beam of an array antenna instantaneously into a desired direction where no mechanical mechanism is involved in the scanning process. Electronic scanning methods including phase scanning, time delay scanning, and frequency scanning have been used in various radar applications; however new and cheaper scanning methods are still being investigated. It is the purpose of this thesis to investigate an array configuration called frequency diverse array (FDA), which gives rise to range-, time-, and angle-dependent scanning without using phase shifters. In this thesis, first, frequency diverse array as a time-modulated array is presented. A general analysis and the theory of time domain scanning is given. Equations derived for a time-modulated frequency diverse array are simulated using MATLAB. Amplitude tapering and Fourier series expansion is implemented in MATLAB and the results are provided for comparison. Secondly, analysis of a frequency diverse array is presented. Time-, range-, and angle-dependent electronic scanning is achieved by applying a small amount of frequency shift among the antenna elements. The simulation results for radiation patterns with various excitation types are given. Lastly, the radar applications of FDA are considered. The received power from a target at a fixed range is simulated in MATLAB and the results are presented.
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Mun, Kok Leong. "Stepped frequency imaging radar simulation." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA379137.

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Burger, Johann. "High frequency surface wave radar demonstrator." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29408.

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High Frequency Surface Wave Radar (HFSWR) is used around the globe for the mapping of sea currents and coastal monitoring of the Exclusive Economic Zone. Decision to build an HF radar at the University of Cape Town (UCT) was made by Daniel O’Hagan and Andrew Wilkinson in February 2015 immediately after seeing a demonstration of the CODAR system at IMT. Their intention was subsequently discussed at several meetings, including a South African Radar Interest Group (SARIG) meeting and one at IMT in order to gauge interest and raise funding. There was both interest (mainly for ocean current monitoring) and scepticism (expressed by CSIR and SARIG members) of the value of HF radar for ship monitoring. This reports the design, construction, test, and evaluation of the UCT HFSWR demonstrator. A modular approach was taken in its design and construction making it easy to replicate and upscale. A pillar of this work is to prove the feasibility of a software defined radar (SDR) based HF radar demonstrator. Every part of the demonstrator was designed and constructed from scratch as UCT had no prior HF activities, and therefore no legacy antennas or components to utilise. A low-cost RF frontend follows the HF antennas, which were also designed for this project. Combined with an SDR platforn known as the Red Pitaya (RP), a complete HF radar demonstrator was assembled and trials were conducted at the UCT rugby field and at the IMT facilities in Simon’s Town. A preliminary assessment of the results reveal the effects of Bragg resonance scatter and detection of two stationary targets (mountains) distinguishable by both range and azimuth. This assessment of the results indicates that the demonstrator is operational.
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Heuschel, Eugene R. "Time-frequency, bi-frequency detector analysis of noise technology radar." Thesis, Monterey, California. Naval Postgraduate School, 2006. http://hdl.handle.net/10945/2636.

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Enemy integrated air defense systems (IADS) using low probability of intercept (LPI) emitters can cause significant problems for suppression of enemy air defense (SEAD) techniques. New threat emitter configurations using low-power random noise modulation have a significant processing gain unavailable to non-cooperative intercept receivers. Consequently, the detection of these emitters can not be accomplished with conventional intercept receiver detection methods. This thesis examines the use of time-frequency, bi-frequency signal detection techniques to identify the parameters of the four types of continuous waveform noise radar recently reported. These include: (a) random noise, (b) noise plus frequency modulation continuous wave (FMCW), (c) noise FMCW plus sine and (d) random binary phase modulation. Quadrature mirror filtering for wavelet decomposition is used to investigate the four types of noise signals in order to extract the signal parameters. The FFT accumulation method for estimating the spectral correlation density function is also used to examine the cyclostationary bi-frequency properties of the waveforms. In addition, the periodic autocorrelation function and periodic ambiguity function are studied to determine the waveform properties in the delay- Doppler offset domain. Results show that non-cooperative intercept receivers can increase their processing gain using these types of signal processing techniques providing a more efficient response time to the threat.
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Middleditch, Andrew. "Spectral analysis in high frequency radar oceanography." Thesis, University of Sheffield, 2006. http://etheses.whiterose.ac.uk/3590/.

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High Frequency radar systems provide a unique opportunity to measure evolving littoral oceanic dynamics at high temporal and spatial resolution. Backscattered electromagnetic signals from ocean waves are modulated by Bragg resonant scattering. A perturbation analysis yields an expression for the spectral content of radar signals which can be exploited to provide estimates of oceanographic parameters: the radial component of surface current can be extracted from the frequency locations of the first order peaks; the ocean wave directional spectrum is related to the second order continuum via a non-linear integral equation. The periodogram, based on a Fourier decomposition of radax data, is the standard method used to derive frequency spectra. Limitations in this approach, caused by inhomogeneities in the underlying ocean field, are investigated. An instantaneous frequency technique is proposed in this thesis which mitigates the spectral distortion by demodulating the backscattered radax signals -a filtering procedure is developed which measures the temporally varying Bragg components. Alternative spectral techniques are analysed in order to validate the filter: an autoregressive paxa, metric modelling approach and an eigendecomposition method. The filter is evaluated, using radar and in situ data, which establishes its potential for ocean remote sensing. Significant improvements in the quantity and accuracy of wave measurements are demonstrated. Properties and constraints of the filter are derived using simulated data. Finally, the generic structure of the extracted instantaneous frequency signals is investigated and related to oceanographic processes.
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Ahmed, Atheeq. "Human Detection Using Ultra Wideband Radar and Continuous Wave Radar." Thesis, Linköpings universitet, Kommunikationssystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-137996.

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A radar works by radiating electromagnetic energy and detecting the reflected signal returned from the target. The nature of the reflected signal provides information about the target’s distance or speed. In this thesis, we will be using a UWB radar and a CW radar to help detect the presence and rough location of trapped survivors by detecting their motions. Range is estimated in the UWB radar using clutter removal with SVD and for the dual frequency CW Radar using STFT and median filtering. The effect of the algorithm parameters on their performance was analyzed. The performance of the implemented algorithms with regards to small motion detection, distance estimation and penetration capability was analyzed. Both systems are certainly capable of human detection and tracking.
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Jones, Aaron M. "Frequency Diverse Array Receiver Architectures." Wright State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=wright1323888275.

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Paulose, Abraham Thomas. "High radar resolution with the step frequency waveform." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1994. http://handle.dtic.mil/100.2/ADA284611.

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Huang, Jen-Chih. "The ambiguity function of the stepped frequency radar." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1994. http://handle.dtic.mil/100.2/ADA289533.

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Thesis (M.S. in Electrical Engineering and M.S. in Systems Engineering) Naval Postgraduate School, September 1994.
Thesis advisor(s): G. S. Gill. "September 1994." Includes bibliographical references. Also available online.
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Books on the topic "Frequency radar"

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Nguyen, Cam, and Joongsuk Park. Stepped-Frequency Radar Sensors. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-12271-7.

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Camacho, Joseph P. Federal radar spectrum requirements. [Washington, D.C.]: U.S. Dept. of Commerce, National Telecommunications and Information Administration, 2000.

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Mun, Kok Leong. Stepped frequency imaging radar simulation. Monterey, Calif: Naval Postgraduate School, 2000.

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Chu, Sun-Chun. Real time step frequency radar. Ottawa: National Library of Canada, 1993.

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Jankiraman, Mohinder. Design of multi-frequency CW radars. Raleigh, NC: Scitech Publishing Inc, 2006.

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Center, Langley Research, ed. A very wide frequency band pulsed/IF radar system. Columbus, Ohio: The Ohio State University, 1988.

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Sanders, Frank H. Measurement procedures for the Radar Spectrum Engineering Criteria (RSEC). Boulder, CO: U.S. Department of Commerce, 2005.

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Chen, Baixiao. Synthetic impulse and aperture radar (SIAR): A novel multi-frequency MIMO radar. Singapore: Wiley, National Defense Industry Press, 2014.

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Madden, J. M. Adaptive interference suppression in high frequency groundwave radar. Birmingham: University ofBirmingham, 1986.

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Paulose, Abraham Thomas. High radar resolution with the step frequency waveform. Monterey, Calif: Naval Postgraduate School, 1994.

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Book chapters on the topic "Frequency radar"

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Long, Teng, Yang Li, Weifeng Zhang, Quanhua Liu, Xinliang Chen, Weiming Tian, and Xiaopeng Yang. "Stepped Frequency Signal Processing." In Wideband Radar, 65–101. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-7561-5_4.

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Horstmann, Jochen, and Anna Dzvonkovskaya. "High Frequency Radar." In Springer Handbook of Atmospheric Measurements, 953–68. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-52171-4_33.

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Morris, Guy V. "Doppler Frequency Tracking." In Principles of Modern Radar, 598–617. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1971-9_19.

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Battaglia, Alessandro, Simone Tanelli, Frederic Tridon, Stefan Kneifel, Jussi Leinonen, and Pavlos Kollias. "Triple-Frequency Radar Retrievals." In Advances in Global Change Research, 211–29. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-24568-9_13.

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Nguyen, Cam, and Joongsuk Park. "Introduction." In Stepped-Frequency Radar Sensors, 1–7. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-12271-7_1.

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Nguyen, Cam, and Joongsuk Park. "General Analysis of Radar Sensors." In Stepped-Frequency Radar Sensors, 9–38. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-12271-7_2.

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Nguyen, Cam, and Joongsuk Park. "Stepped-Frequency Radar Sensor Analysis." In Stepped-Frequency Radar Sensors, 39–64. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-12271-7_3.

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Nguyen, Cam, and Joongsuk Park. "Development of Stepped-Frequency Continuous-Wave Radar Sensors." In Stepped-Frequency Radar Sensors, 65–97. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-12271-7_4.

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Nguyen, Cam, and Joongsuk Park. "Characterizations and Tests of Stepped-Frequency Continuous-Wave Radar Sensors." In Stepped-Frequency Radar Sensors, 99–117. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-12271-7_5.

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Nguyen, Cam, and Joongsuk Park. "Summary and Conclusion." In Stepped-Frequency Radar Sensors, 119–21. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-12271-7_6.

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Conference papers on the topic "Frequency radar"

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Schulz, P. A., and S. R. Henion. "Frequency-chirped solid state laser radars." In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/clr.1991.wc1.

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Solid-state laser developments, including diode laser pumping, miniaturization, and new materials, have made compact, efficient, and long-lived lasers in the 1 to 2 μm range available.[1] In addition, high-quantum-efficiency receivers operating at room temperature exist in this range. Consequently, solid-state laser radars are being considered for many applications. For single-pulse coherent radar the product of the range resolution ΔR and the velocity resolution Δv, referred to as the product resolution, is equal to cλ/4, where λ, is the wavelength of the radiation. This product resolution improves (decreases) with decreasing wavelength (Fig. 1) providing further argument for the relatively short wavelength of the solid-state laser.
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Mu, Tong, and Yaoliang Song. "Adaptive Beampattern Synthesis for Frequency Diverse Array Using Space-Frequency Decomposition." In 2019 International Radar Conference (RADAR). IEEE, 2019. http://dx.doi.org/10.1109/radar41533.2019.171327.

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Lacomme, P. "Airborne metric frequency surveillance radar." In Radar Systems (RADAR 97). IEE, 1997. http://dx.doi.org/10.1049/cp:19971634.

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Sun, Weifeng, Yongshou Dai, Yonggang Ji, Peng Zhou, and Yong Wan. "Vessel target tracking exploiting frequency diversity for dual-frequency HFSWR." In 2016 CIE International Conference on Radar (RADAR). IEEE, 2016. http://dx.doi.org/10.1109/radar.2016.8059403.

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Moore, S. A. W. "Dual frequency multi-function radar antenna research." In Radar Systems (RADAR 97). IEE, 1997. http://dx.doi.org/10.1049/cp:19971630.

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Shapiro, Jeffrey H. "Laser Radar System Theory*." In Optical Remote Sensing. Washington, D.C.: Optica Publishing Group, 1985. http://dx.doi.org/10.1364/ors.1985.tub3.

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Coherent laser radars represent a true translation to the optical frequency band of conventional microwave radar concepts. Moreover, the emerging technology of compact CO2 laser radars may be capable of resolving targets in any combination of the modalities of space, angle, range, and velocity. As a result, the development of laser radar system theory as an analytic tool for the design and performance evaluation of such systems must function on a variety of levels. In this paper, three of these levels will be reviewed.
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Reich, G. M., M. Antoniou, and C. J. Baker. "Frequency-dependent target localization." In International Conference on Radar Systems (Radar 2017). Institution of Engineering and Technology, 2017. http://dx.doi.org/10.1049/cp.2017.0375.

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Tieliang, Shang, Bao Xiuzeng, Ye Yihuang, Zhou Chi, and Pi Mingjia. "Sensitivity of two-frequency autodyne detection." In Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/clr.1995.me5.

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Heterodyne detection of laser radar signals is much more sensitive than other non-coherent method. The theory and technology of heterodyne detection are being well developed. In 1985, R. J. Keyes proposed the autodyne detection in a transmission-reception coherent laser radar system with a single-frequency laser.[1] Furhter theoretical and experimenatl efforts were made by D.U. Flukiger et al in visible region in 1987.[2] In 1989, Pi Mingjia proposed a new method of coherent laser radar detect ion, the two-frequency autodyne(TFAD) detection.[3]
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Misiurewicz, J. "Unambiguous Doppler frequency estimation in an MTI radar." In Radar Systems (RADAR 97). IEE, 1997. http://dx.doi.org/10.1049/cp:19971732.

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Liu, L., Z. Ding, T. Zeng, and D. Yao. "Modified stepped-frequency SAR imaging algorithm with frequency-domain spectrum reconstruction." In IET International Conference on Radar Systems (Radar 2012). Institution of Engineering and Technology, 2012. http://dx.doi.org/10.1049/cp.2012.1715.

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Reports on the topic "Frequency radar"

1

Monk, Virginia C., and Fred W. Sedenquist. High Frequency Radar Target Modeling. Fort Belvoir, VA: Defense Technical Information Center, January 1995. http://dx.doi.org/10.21236/ada290955.

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Monk, Virginia C., and Fred W. Sedenquist. High-Frequency Radar Target Modeling. Fort Belvoir, VA: Defense Technical Information Center, January 1995. http://dx.doi.org/10.21236/ada290965.

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3

Rubio, Anna, Emma Reyes, Carlo Mantovani, Lorenzo Corgnati, Pablo Lorente, Lohitzune Solabarrieta, Julien Mader, et al. European High Frequency Radar network governance. EuroSea, May 2021. http://dx.doi.org/10.3289/eurosea_d3.4.

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This report describes the governance of the European HF radar network including: the landscape of the Ocean observation networks and infrastructures, the role and links between operators of observational systems and stakeholders, the role and activities of the EuroGOOS HF radar Task Team in building a sound community strategy, the roadmap of the community with current achievements and future work lines.
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Johnston, Brooks. Time-frequency analysis of synthetic aperture radar signals. Office of Scientific and Technical Information (OSTI), August 1996. http://dx.doi.org/10.2172/420387.

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Mazzaro, Gregory J., Kyle A. Gallagher, Albert R. Owens, Kelly D. Sherbondy, and Ram M. Narayanan. Ultra-Wideband Harmonic Radar for Locating Radio-Frequency Electronics. Fort Belvoir, VA: Defense Technical Information Center, March 2015. http://dx.doi.org/10.21236/ada614485.

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Varshney, Pramod K., Donald D. Welner, and Tzeta Tsao. Radar Signal Detection and Estimation Using Time-Frequency Distributions. Fort Belvoir, VA: Defense Technical Information Center, October 1995. http://dx.doi.org/10.21236/ada304818.

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Suvorova, Sofia, Bill Moran, Elena Kalashyan, Peter Zulch, and Robert J. Hancock. Radar Performance of Temporal and Frequency Diverse Phase-Coded Waveforms. Fort Belvoir, VA: Defense Technical Information Center, January 2006. http://dx.doi.org/10.21236/ada475484.

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Candy, J. V. ,. LLNL. Inverse synthetic aperture radar processing using parametric time-frequency estimators Phase I. Office of Scientific and Technical Information (OSTI), December 1997. http://dx.doi.org/10.2172/304514.

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Schmitt, R. L., R. J. Williams, and J. D. Matthews. High-frequency scannerless imaging laser radar for industrial inspection and measurement applications. Office of Scientific and Technical Information (OSTI), November 1996. http://dx.doi.org/10.2172/419074.

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Atkinson, Larry P. Oceanography - High Frequency Radar and Ocean Thin Layers, Volume 10, No. 2. Fort Belvoir, VA: Defense Technical Information Center, March 1999. http://dx.doi.org/10.21236/ada361115.

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