Relevant bibliographies by topics / Moving target indicator radar

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Academic literature on the topic 'Moving target indicator radar'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Moving target indicator radar"

1

Li, Yuan, and Gaohuan Lv. "Optical moving target indicator for synthetic aperture radar images." Optical Engineering 52, no. 8 (2013): 083103. http://dx.doi.org/10.1117/1.oe.52.8.083103.

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Thandar Soe, Khine. "Moving Target Indicator (MTI) RADAR Design Based on MATLAB/SIMULINK." Data Research 4, no. 5 (2020): 1. http://dx.doi.org/10.31058/j.data.2020.45001.

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Levy, Chagai, Monika Pinchas, and Yosef Pinhasi. "Coherent Integration Loss Due to Nonstationary Phase Noise in High-Resolution Millimeter-Wave Radars." Remote Sensing 13, no. 9 (2021): 1755. http://dx.doi.org/10.3390/rs13091755.

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Phase noise refers to the instability of an oscillator, which is the cause of instantaneous phase and frequency deviations in the carrier wave. This unavoidable instability adversely affects the performance of range–velocity radar systems, including synthetic aperture radars (SARs) and ground-moving target indicator (GMTI) radars. Phase noise effects should be considered in high-resolution radar designs, operating in millimeter wavelengths and terahertz frequencies, due to their role in radar capability during the reliable identification of target location and velocity. In general, phase noise
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Himed, B., and M. Soumekh. "Synthetic aperture radar–moving target indicator processing of multi-channel airborne radar measurement data." IEE Proceedings - Radar, Sonar and Navigation 153, no. 6 (2006): 532. http://dx.doi.org/10.1049/ip-rsn:20050128.

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Parusov, V. A. "Moving-target indication in ultra wideband radar." Issues of radio electronics, no. 9 (September 13, 2019): 12–17. http://dx.doi.org/10.21778/2218-5453-2019-9-12-17.

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Ghanem, Sameh. "Enhancement of small doppler frequencies detection for LFMCW radar." PeerJ Computer Science 7 (January 28, 2021): e367. http://dx.doi.org/10.7717/peerj-cs.367.

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Detection of targets with small Doppler frequencies of linear-frequency modulated continuous wave radars is the main task of this article. The moving target indicator (MTI) is used to reject the fixed targets and high-speed targets through the radar research area. In this work, targets with small Doppler frequencies can be detected perfectly based on the frequency response of a single delay line canceller followed by single delay line integrator. An enhancement of the proposed algorithm is achieved using a filter in the range direction of the range-Doppler processor scheme. The proposed filter
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Kim, Bong-seok, Youngseok Jin, Sangdong Kim, and Jonghun Lee. "A Low-Complexity FMCW Surveillance Radar Algorithm Using Two Random Beat Signals." Sensors 19, no. 3 (2019): 608. http://dx.doi.org/10.3390/s19030608.

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This paper proposes a low-complexity frequency-modulated continuous wave (FMCW) surveillance radar algorithm using random dual chirps in order to overcome the blind-speed problem and reduce the computational complexity. In surveillance radar algorithm, the most widely used moving target indicator (MTI) algorithm is proposed to effectively remove clutter. However, the MTI algorithm has a so-called ‘blind-speed problem’ that cannot detect a target of a specific velocity. In this paper, we try to solve the blind-speed problem of MTI algorithm by randomly selecting two beat signals selected for MT
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Mohd Basir, Shafinaz, Idnin Pasya, Tajmalludin Yaakob, Nur Emileen Abd Rashid, and Takehiko Kobayashi. "Improvement of Doppler measurement using multiple-input multiple-output (MIMO) concept in radar-based automotive sensor detecting pedestrians." Sensor Review 38, no. 2 (2018): 239–47. http://dx.doi.org/10.1108/sr-04-2017-0060.

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Purpose This paper aims to present an approach of utilizing multiple-input multiple-output (MIMO) radar concept to enhance pedestrian classification in automotive sensors. In a practical environment, radar signals reflected from pedestrians and slow-moving vehicles are similar in terms of reflecting angle and Doppler returns, inducing difficulty for target discrimination. An efficient discrimination between the two targets depends on the ability of the sensor to extract unique characteristics from each target, for example, by exploiting Doppler signatures. This study describes the utilization
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Ma, Hui, Michail Antoniou, Debora Pastina, et al. "Maritime Moving Target Indication Using Passive GNSS-Based Bistatic Radar." IEEE Transactions on Aerospace and Electronic Systems 54, no. 1 (2018): 115–30. http://dx.doi.org/10.1109/taes.2017.2739900.

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Chen, Zhao‐Yan, and Tong Wang. "Unambiguous across‐track velocity estimation of moving targets for multichannel synthetic aperture radar‐ground moving target indication systems." IET Signal Processing 8, no. 9 (2014): 950–57. http://dx.doi.org/10.1049/iet-spr.2013.0423.

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Dissertations / Theses on the topic "Moving target indicator radar"

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Riedl, Michael Richard. "New Approaches to Ground Moving Target Indicator Radar." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1469107053.

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Banahan, C. P. "Ground moving target indication radar with small antenna arrays." Thesis, University College London (University of London), 2010. http://discovery.ucl.ac.uk/756558/.

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Ground Moving Target Indication (GMTI) for radars with a small number of phase centres with low processing overhead is desirable for large scale deployment of unmanned aircraft (UAVs) in ground surveillance applications. Since there are often limitations associated with communication and onboard processing on UAVs, identifying moving targets from radar data gathered by these platforms for non-GMTI purposes would be an attractive prospect. The work presented here uses real radar data to assess the performance of the Displaced Phase Centre Antenna technique (DPCA), Adaptive DPCA and Joint Domain
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Wu, Di. "Sparsity driven ground moving target indication in synthetic aperture radar." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31329.

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Synthetic aperture radar (SAR) was first invented in the early 1950s as the remote surveillance instruments to produce high resolution 2D images of the illuminated scene with weather-independent, day-or-night performance. Compared to the Real Aperture Radar (RAR), SAR is synthesising a large virtual aperture by moving a small antenna along the platform path. Typical SAR imaging systems are designed with the basic assumption of a static scene, and moving targets are widely known to induce displacements and defocusing in the formed images. While the capabilities of detection, states estimation a
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Paulus, Audrey S. "Improved target detection through extended-dwell, multichannel radar." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/54279.

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The detection of weak, ground-moving targets can be improved through effective utilization of additional target signal energy collected over an extended dwell time. The signal model used in conventional radar processing limits integration of signal energy over an extended dwell. Two solutions that consider the complexity of the extended-dwell signal model and effectively combine signal energy collected over a long dwell are presented. The first solution is a single-channel algorithm that provides an estimate of the optimal detector to maximize output signal-to-interference-plus-noise ratio for
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Bourassa, Rene Benoit Paul. "A multiple aperture feed system for ground moving target indication (GMTI) radar applications." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0007/MQ44900.pdf.

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Ispir, Mehmet. "Design Of Moving Target Indication Filters With Non-uniform Pulse Repetition Intervals." Master's thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615361/index.pdf.

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Staggering the pulse repetititon intervals is a widely used solution to alleviate the blind speed problem in Moving Target Indication (MTI) radar systems. It is possible to increase the first blind speed on the order of ten folds with the use of non-uniform sampling. Improvement in blind speed results in passband fluctuations that may degregade the detection performance for particular Doppler frequencies. Therefore, it is important to design MTI filters with non-uniform interpulse periods that have minimum passband ripples with sufficient clutter attenuation along with good range and blind vel
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Mosito, Katlego Ernest. "Investigation of ground moving target indication techniques for a multi-channel synthetic aperture radar." Master's thesis, Faculty of Engineering and the Built Environment, 2020. http://hdl.handle.net/11427/32289.

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Synthetic Aperture Radar (SAR) is an imaging technique that creates two dimensional images of the scattering objects in the illuminated ground scene. The objects in the illuminated ground scene may be truly stationary, e.g. buildings etc. or in motion relative to these stationary objects, e.g. cars on a highway. In SAR, the radar platform is moving during the imaging period, hence everything that the radar illuminates has motion relative to the radar platform. In order to specifically detect objects on the ground that are moving relative to stationary ground objects (often termed clutter), pro
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Kalender, Emre. "Parametric Estimation Of Clutter Autocorrelation Matrix For Ground Moving Target Indication." Master's thesis, METU, 2013. http://etd.lib.metu.edu.tr/upload/12615313/index.pdf.

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In airborne radar systems with Ground Moving Target Indication (GMTI) mode, it is desired to detect the presence of targets in the interference consisting of noise, ground clutter, and jamming signals. These interference components usually mask the target return signal, such that the detection requires suppression of the interference signals. Space-time adaptive processing is a widely used interference suppression technique which uses temporal and spatial information to eliminate the effects of clutter and jamming and enables the detection of moving targets with small radial velocity. However,
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Sjögren, Thomas. "Synthetic Aperture Radar Signal and Image Processing for Moving Target Indication and Side Lobe Suppression." Doctoral thesis, Blekinge Tekniska Högskola, Avdelningen för elektroteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00542.

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The thesis summarizes a selection of my research within Synthetic Aperture Radar (SAR). Mainly the research is aimed at applying and developing signal processing methods to single channel and multi channel SAR for wideband systems. SAR systems can generate images looking very similar to optical pictures, i.e. photos, and sometimes with much finer resolution compared to optical systems orbiting Earth. SAR has also for instance been used to obtain fine resolution images of the moon, Venus and the satellites of Saturn. Other applications for SAR has is to detect changes in ice sheets and deforest
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Winkler, Joseph W. "An Investigation into Ground Moving Target Indication (GMTI) Using a Single-Channel Synthetic Aperture Radar (SAR)." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3555.

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Synthetic aperture radar (SAR) was originally designed as an airborne ground-imaging radar technology. But it has long been desired to also be able to use SAR imaging systems to detect, locate, and track moving ground targets, a process called Ground Moving Target Indication (GMTI). Unfortunately, due to the nature of how SAR works, it is inherently poorly suited to the task of GMTI. SAR only focuses targets and image features that remain stationary during the data collection. A moving ground target therefore does not focus in a conventional SAR image, which complicates the process of performi
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Books on the topic "Moving target indicator radar"

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Bakulev, P. A. Metody i ustroĭstva selekt͡s︡ii dvizhushchikhsi͡a︡ t͡s︡eleĭ. "Radio i svi͡a︡zʹ", 1986.

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Schleher, D. Curtis. MTI and pulsed doppler radar. Artech House, 1991.

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MTI and pulsed doppler radar with MATLAB. 2nd ed. Artech House, 2010.

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Klemm, Richard. Principles of space-time adaptive processing. Institution of Electrical Engineers, 2002.

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Engineers, Institution of Electrical, ed. Principles of space-time adaptive processing. 3rd ed. Institution of Electrical Engineers, 2006.

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Schleher, D. Curtis. Mti & Pulsed Doppler Radar. Books on Demand, 1991.

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Yang, Jian. Study on Ground Moving Target Indication and Imaging Technique of Airborne SAR. Springer, 2018.

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Yang, Jian. Study on Ground Moving Target Indication and Imaging Technique of Airborne SAR. Springer, 2017.

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Klemm, Richard. Principles of Space-Time Adaptive Processing. 3rd ed. Institution for Engineering and Technology, 2006.

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Richard, Klemm, ed. Applications of space-time adaptive processing. Institution of Electrical Engineers, 2004.

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Book chapters on the topic "Moving target indicator radar"

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Wang, Yuexiang, Hongyong Yang, and Gaohuan Lv. "Ground Moving Target Indication Based on Doppler Spectrum in Synthetic Aperture Radar Images." In Lecture Notes in Electrical Engineering. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6499-9_6.

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Iverson, Derek E. "Measuring Moving Target Speed and Angle in Ultra-Wideband Radar." In Ultra-Wideband, Short-Pulse Electromagnetics 2. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4899-1394-4_61.

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Aleem, Md, R. P. Singh, and Syed Jalal Ahmad. "Enhance Multiple Moving Target Detection in Doppler-Tolerant Radar Using IRAESC Technique." In Lecture Notes in Networks and Systems. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8204-7_42.

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Yu, Xiaohan, Wei Zhou, Jian Guan, and Wenchao Hu. "Decision Fusion Moving Target Detection of Radar Video Based on D-S Evidence Theory." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-48768-6_45.

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Zhao, Bin, Bin Wang, Yun Zhang, Huilin Mu, and Xin Qi. "A New Method of Moving Target Detection Based on OFDM Signal in Radar System." In Lecture Notes in Electrical Engineering. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-6571-2_275.

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Wang, Yong, Aijun Liu, and Qingxiang Zhang. "Research Progress of Inverse Synthetic Aperture Radar (ISAR) Imaging of Moving Target via Quadratic Frequency Modulation (QFM) Signal Model." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6504-1_94.

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"Clutter and Moving Target Indicator (MTI)." In Radar Systems Analysis and Design Using MATLAB. Chapman and Hall/CRC, 2000. http://dx.doi.org/10.1201/9781584888543.ch9.

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"Clutter and Moving Target Indicator (MTI)." In Radar Systems Analysis and Design Using MATLAB. Chapman and Hall/CRC, 2005. http://dx.doi.org/10.1201/9781420057072-17.

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"Moving Target Indicator (MTI) and Clutter Mitigation." In MATLAB Simulations for Radar Systems Design. Chapman and Hall/CRC, 2003. http://dx.doi.org/10.1201/9780203502556.ch7.

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"Moving Target Indicator (MTI) and Clutter Mitigation." In MATLAB Simulations for Radar Systems Design. Chapman and Hall/CRC, 2003. http://dx.doi.org/10.1201/9780203502556-9.

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Conference papers on the topic "Moving target indicator radar"

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Donadio, Anthony, Robert Ewing, William J. Kenneally, and John J. Santapietro. "Minefield overwatch using moving target indicator radar." In AeroSense '99, edited by Nickolas L. Faust and Steve Kessinger. SPIE, 1999. http://dx.doi.org/10.1117/12.354468.

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Yoon, Chun S. "Ground target classification using moving target indicator radar signatures." In Orlando '91, Orlando, FL, edited by Vibeke Libby. SPIE, 1991. http://dx.doi.org/10.1117/12.44856.

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Amoozegar, Farid. "Neural network based moving target indicator for radar applications." In SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, edited by Steven K. Rogers and Dennis W. Ruck. SPIE, 1995. http://dx.doi.org/10.1117/12.205206.

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Dallinger, Alexander, and Bernhard Bickert. "Airborne Moving Target Indication of ground and maritime targets with SmartRadar." In 2014 International Radar Conference (Radar). IEEE, 2014. http://dx.doi.org/10.1109/radar.2014.7060352.

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Kapfer, Robert, and Mark E. Davis. "Along track interferometry for foliage penetration Moving Target Indication." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720791.

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Gallagher, Kyle A., Ram M. Narayanan, Gregory J. Mazzaro, Kenneth I. Ranney, Anthony F. Martone, and Kelly D. Sherbondy. "Moving target indication with non-linear radar." In 2015 IEEE International Radar Conference (RadarCon). IEEE, 2015. http://dx.doi.org/10.1109/radar.2015.7131219.

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Gaohuan Lv, Junfeng Wang, and Xingzhao Liu. "Synthetic aperture radar based ground moving target indicator using symmetrical Doppler rate matched filter pairs." In 2012 IEEE Radar Conference (RadarCon). IEEE, 2012. http://dx.doi.org/10.1109/radar.2012.6212276.

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Ridder, Tyler D., and Ram M. Narayanan. "Operational reliability of a moving target indication (MTI) radar." In Radar Sensor Technology XXIV, edited by Ann M. Raynal and Kenneth I. Ranney. SPIE, 2020. http://dx.doi.org/10.1117/12.2560305.

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Jing, Kai, Jia Xu, Di Yao, Teng Long, and Cang-Zhen Meng. "Moving target indication via forward looking array and cross track interferometry." In 2016 CIE International Conference on Radar (RADAR). IEEE, 2016. http://dx.doi.org/10.1109/radar.2016.8059268.

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Balaji, Bhashyam, Rajiv Sithiravel, Anthony Damini, Kai Wang, and Thiagalingam Kirubarajan. "Radar resource management for a ground moving target indication radar." In SPIE Defense + Security, edited by Ivan Kadar. SPIE, 2015. http://dx.doi.org/10.1117/12.2179287.

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Reports on the topic "Moving target indicator radar"

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Donadio, Anthony, Robert Ewing, William Kenneally, and John J. SantaPietro. Minefield Overwatch Using Moving Target Indicator Radar. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada460130.

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Doerry, Armin Walter. Performance limits for exo-clutter Ground Moving Target Indicator (GMTI) radar. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/992323.

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Tuley, M. T., T. C. Miller, and R. J. Sullivan. Ionospheric Scintillation Effects on a Space-Based, Foliage Penetration, Ground Moving Target Indication Radar. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada407771.

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Skipper, David J. A Dialectic Approach to Moving Target Indicator (MTI) Correlation. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada397010.

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Carriere, R., and R. L. Moses. High Resolution Radar Target Modeling Using ARMA (Autoregressive Moving Average)Models. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada218212.

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Soumekh, Mehrdad. Moving Target Detection and Motion Estimation in Foliage Using along Track Monopulse Synthetic Aperture Radar Imaging and Signal Subspace Processing of Uncalibrated MTD-SARs. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada329234.

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