Relevant bibliographies by topics / Through wall radar

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Through wall radar'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Through wall radar"

1

Kılıç, Alper, İsmail Babaoğlu, Ahmet Babalık, and Ahmet Arslan. "Through-Wall Radar Classification of Human Posture Using Convolutional Neural Networks." International Journal of Antennas and Propagation 2019 (March 31, 2019): 1–10. http://dx.doi.org/10.1155/2019/7541814.

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Through-wall detection and classification are highly desirable for surveillance, security, and military applications in areas that cannot be sensed using conventional measures. In the domain of these applications, a key challenge is an ability not only to sense the presence of individuals behind the wall but also to classify their actions and postures. Researchers have applied ultrawideband (UWB) radars to penetrate wall materials and make intelligent decisions about the contents of rooms and buildings. As a form of UWB radar, stepped frequency continuous wave (SFCW) radars have been preferred
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Maaref, Nadia, and Patrick Millot. "Array-Based Ultrawideband through-Wall Radar: Prediction and Assessment of Real Radar Abilities." International Journal of Antennas and Propagation 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/602716.

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This paper deals with a new through-the-wall (TTW) radar demonstrator for the detection and the localisation of people in a room (in a noncooperative way) with the radar situated outside but in the vicinity of the first wall. After modelling the propagation through various walls and quantifying the backscattering by the human body, an analysis of the technical considerations which aims at defining the radar design is presented. Finally, an ultrawideband (UWB) frequency modulated continuous wave (FMCW) radar is proposed, designed, and implemented. Some representative trials show that this radar
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Sisma, Ondrej, Alain Gaugue, Christophe Liebe, and Jean-Marc Ogier. "UWB radar: vision through a wall." Telecommunication Systems 38, no. 1-2 (2008): 53–59. http://dx.doi.org/10.1007/s11235-008-9087-z.

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Jifang, Zhao, Jin Liangnian, and Liu Qinghua. "Through-the-wall radar sparse imaging for building walls." Journal of Engineering 2019, no. 21 (2019): 7403–5. http://dx.doi.org/10.1049/joe.2019.0541.

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Shi, Xiaomin, Chenhao Wang, and Chen Zheng. "Wall clutter mitigation based on spread spectrum radar in through‐the‐wall radar." Microwave and Optical Technology Letters 62, no. 5 (2020): 1987–90. http://dx.doi.org/10.1002/mop.32253.

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Xu, Hang, Liqiang Li, Ying Li, et al. "Chaos-Based Through-Wall Life-Detection Radar." International Journal of Bifurcation and Chaos 29, no. 07 (2019): 1930020. http://dx.doi.org/10.1142/s0218127419300209.

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We propose a chaos-based through-wall life-detection radar utilizing a wideband Boolean-chaos signal as the radar probe signal. The range between the radar and the human target can be obtained by correlating the chaotic signal reflected from the human target with its delayed duplicate. Actually, this range is modulated periodically by human chest wall displacements along the time axis of recording signal and the modulation frequency is equal to the respiratory frequency. Therefore, we design a life-detection algorithm based on correlation method to extract the human’s respiratory frequency and
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Jin, Tian, and Alexander Yarovoy. "A Through-the-Wall Radar Imaging Method Based on a Realistic Model." International Journal of Antennas and Propagation 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/539510.

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An image focusing method based on a realistic model for a wall is proposed for through-the-wall radar imaging using a multiple-input multiple-output array. A technique to estimate the wall parameters (i.e., position, thickness, and permittivity) from the radar returns is developed and tested. The estimated wall properties are used in the developed penetrating image formation to form images. The penetrating image formation developed is computationally efficient to realize real-time imaging, which does not depend on refraction points. The through-the-wall imaging method is validated on simulated
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Yoo, Wang, Seol, Lee, Chung, and Cho. "A Multiple Target Positioning and Tracking System Behind Brick-Concrete Walls Using Multiple Monostatic IR-UWB Radars." Sensors 19, no. 18 (2019): 4033. http://dx.doi.org/10.3390/s19184033.

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Recognizing and tracking the targets located behind walls through impulse radio ultra-wideband (IR-UWB) radar provides a significant advantage, as the characteristics of the IR-UWB radar signal enable it to penetrate obstacles. In this study, we design a through-wall radar system to estimate and track multiple targets behind a wall. The radar signal received through the wall experiences distortion, such as attenuation and delay, and the characteristics of the wall are estimated to compensate the distance error. In addition, unlike general cases, it is difficult to maintain a high detection rat
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Nkwari, P. K. M., S. Sinha, and H. C. Ferreira. "Through-the-Wall Radar Imaging: A Review." IETE Technical Review 35, no. 6 (2017): 631–39. http://dx.doi.org/10.1080/02564602.2017.1364146.

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Sun, X., B. Y. Lu, T. Jin, and Z. M. Zhou. "Wall clutter mitigation in through-the-wall MIMO radar application." Journal of Electromagnetic Waves and Applications 26, no. 17-18 (2012): 2256–66. http://dx.doi.org/10.1080/09205071.2012.732554.

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Dissertations / Theses on the topic "Through wall radar"

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Chang, Paul Chinling. "Near zone radar imaging and feature capture of building interiors." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1197399599.

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Chang, Paul Chinling. "Physics-Based Inverse Processing and Multi-path Exploitation for Through-Wall Radar Imaging." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306646674.

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Kasak, Kerem. "An Implementation And Algorithm Development For Uwb Through The Wall Imaging System." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12609025/index.pdf.

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The feasibility of Ultra Wide Band (UWB) through the wall surveillance system is studied in this thesis. The transmitter and receiver architectures are discussed and an experimental set-up is constructed to verify the theory of UWB sensing. The constructed system has 80 mW peak, 6 uW average transmit power and 500 kHz PRF and a range resolution better than 1 cm. Using the experimental set-up, two problems are examined. The first problem is the respiration rate detection problem. It has been shown that the respiration rate can be accurately estimated and the signs of vital activity can be deter
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Boudamouz, Brahim. "Contribution à l'étude de nouvelles techniques de radar MIMO pour la détection de cibles en contexte urbain (à l'intérieur des bâtiments)." Thesis, Toulouse, ISAE, 2013. http://www.theses.fr/2013ESAE0008/document.

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L’objectif de cette thèse a consisté en l’étude des apports d’une architecture radar MIMO pour la détection d’êtres humains à l’intérieur des bâtiments. Pour ce faire, il a tout d’abord été mis en évidence sur un point théorique la supériorité d’une architecture radar MIMO comparée au SIMO, en terme de robustesse et de pouvoir discriminant de cibles rapprochées. Ensuite, les effets de la traversée du mur sur le signal radar furent décrits et une caractérisation quantitative de la transmission à travers un mur fut réalisée sur mesures expérimentales. Différents simulateurs de scénarii de détect
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Browne, Kenneth Edward. "High Resolution RADAR Imaging via a Portable Through-Wall MIMO System Employing a Low-Profile UWB Array." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1306617106.

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Lagunas, Targarona Eva. "Compressive sensing based candidate detector and its applications to spectrum sensing and through-the-wall radar imaging." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/144629.

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Signal acquisition is a main topic in signal processing. The well-known Shannon-Nyquist theorem lies at the heart of any conventional analog to digital converters stating that any signal has to be sampled with a constant frequency which must be at least twice the highest frequency present in the signal in order to perfectly recover the signal. However, the Shannon-Nyquist theorem provides a worst-case rate bound for any bandlimited data. In this context, Compressive Sensing (CS) is a new framework in which data acquisition and data processing are merged. CS allows to compress the data while is
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Mostafa, Ahmed A. [Verfasser], Abdelhak M. [Akademischer Betreuer] Zoubir, and Wilhelm [Akademischer Betreuer] Stannat. "Segmentation and Classification for Through-the-Wall Radar Imaging / Ahmed A. Mostafa. Betreuer: Abdelhak M. Zoubir ; Wilhelm Stannat." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2012. http://d-nb.info/1106454596/34.

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Leigsnering, Michael [Verfasser], Abdelhak M. [Akademischer Betreuer] Zoubir, Moeness G. [Akademischer Betreuer] Amin, Christian [Akademischer Betreuer] Damm, and Heinz [Akademischer Betreuer] Köppl. "Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging / Michael Leigsnering. Betreuer: Abdelhak M. Zoubir ; Moeness G. Amin ; Christian Damm ; Heinz Köppl." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2016. http://d-nb.info/1112044914/34.

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Benahmed, Daho Omar. "Radar ULB pour la vision à travers les murs : mise au point d'une chaîne de traitement de l'information d'un radar imageur." Thesis, La Rochelle, 2014. http://www.theses.fr/2014LAROS036/document.

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Nous nous intéressons dans cette thèse à la vision à travers les murs (VTM) par radar ULB, avec comme objectif la mise au point d’une chaîne de traitement de l’information (CTI) complète pouvant être utilisée par différents types de radar imageur VTM. Pour ce faire, nous souhaitons prendre en compte le moins possible d’information a priori, ni sur les cibles, ni sur leur contexte environnemental. De plus, la CTI doit répondre à des critères d’adaptabilité et de modularité pour pouvoir traiter les informations issues de deux types de radar, notamment, le pulsé et le FMCW, développés dans deux p
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Zhao, Xiaowei. "Détection et localisation de cibles derrière un mur avec un système radar ULB." Phd thesis, Université de La Rochelle, 2012. http://tel.archives-ouvertes.fr/tel-00829842.

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Le cadre de cette thèse est centré sur l'étude d'un radar ultra large bande (ULB) en mode impulsionnel, pour la " vision " à travers les murs (VAM), qui présente de nombreuses applications tant dans le domaine militaire (lors des assauts, des prises d'otages, ...) que dans le secteur de la sécurité civile (recherche de personnes dans des décombres, dans un incendie, ...). Pour ces utilisations, l'image réelle de la scène observée n'est pas nécessaire, seules certaines informations pertinentes suffisent : nombre de personnes, position, vitesse de déplacement, etc. C'est dans ce contexte que nou
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Books on the topic "Through wall radar"

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Through-the-wall radar imaging. CRC Press, 2011.

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Leigsnering, Michael. Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74283-0.

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Leigsnering, Michael. Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging. Springer, 2019.

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Leigsnering, Michael. Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging. Springer, 2018.

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Compressive Sensing for Urban Radar. CRC Press, 2014.

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Book chapters on the topic "Through wall radar"

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Zetík, Rudolf, Jürgen Sachs, and Peter Peyerl. "Through-Wall Imaging by Means of UWB Radar." In Ultra-Wideband, Short-Pulse Electromagnetics 7. Springer New York, 2007. http://dx.doi.org/10.1007/978-0-387-37731-5_66.

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Leigsnering, Michael. "Mitigating Wall Effects and Uncertainties." In Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74283-0_5.

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Wang, Wei, Baoju Zhang, and Jiasong Mu. "Through Wall Human Detection Using Compressed UWB Radar Data." In The Proceedings of the Second International Conference on Communications, Signal Processing, and Systems. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00536-2_102.

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Wang, Kaimin, Jiang Qian, Shaoyin Huang, Yong Wang, Xiaobo Yang, and Bin Duo. "Through-the-Wall Radar Imaging Based on Deep Learning." In Wireless and Satellite Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19156-6_58.

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Daho, O. B., J. Khamlichi, M. Ménard, and A. Gaugue. "UWB Short-Pulse Radar: Combining Trilateration and Back Projection for Through-the-Wall Radar Imaging." In Ultra-Wideband, Short-Pulse Electromagnetics 10. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-9500-0_39.

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Kocur, Dušan, Jana Rovňáková, and Mária Švecová. "Through Wall Tracking of Moving Targets by M-Sequence UWB Radar." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03737-5_25.

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Abdellaoui, M., M. Fattah, S. Mazer, et al. "Study and Design of a See Through Wall Imaging Radar System." In Embedded Systems and Artificial Intelligence. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0947-6_15.

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Leigsnering, Michael. "Introduction and Motivation." In Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74283-0_1.

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Leigsnering, Michael. "Fundamentals of Compressive Sensing." In Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74283-0_2.

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Leigsnering, Michael. "Signal Model." In Sparsity-Based Multipath Exploitation for Through-the-Wall Radar Imaging. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74283-0_3.

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Conference papers on the topic "Through wall radar"

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Lingjiang Kong, Guolong Cui, Jianyu Yang, and Xiaochun Wang. "A new wall compensation algorithm for through-the-wall radar imaging." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720767.

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Falconer, David G., Karl N. Steadman, and David G. Watters. "Through-the-wall differential radar." In Enabling Technologies for Law Enforcement and Security, edited by Edward M. Carapezza and Donald Spector. SPIE, 1997. http://dx.doi.org/10.1117/12.266734.

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Zhang, Jing, and Qing-xia Fu. "Wall parameters measurement and compensation cross-locating detection method for through wall radar." In 2016 CIE International Conference on Radar (RADAR). IEEE, 2016. http://dx.doi.org/10.1109/radar.2016.8059365.

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Greneker, Gene, and E. O. Rausch. "Wall characterization for through-the-wall radar applications." In SPIE Defense and Security Symposium, edited by Kenneth I. Ranney and Armin W. Doerry. SPIE, 2008. http://dx.doi.org/10.1117/12.778198.

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Yao, Xue, Guolong Cui, Lingjiang Kong, Jiangang Liu, Chuan Yi, and Jianyu Yang. "Wall compensation algorithm for through-wall-radar building layout imaging." In 2014 IEEE Radar Conference (RadarCon). IEEE, 2014. http://dx.doi.org/10.1109/radar.2014.6875757.

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Kong, Ling-jiang, Guo-long Cui, Jian-yu Yang, and Xiao-bo Yang. "Wall parameters estimation method for through-the-wall radar imaging." In 2008 International Conference on Radar. IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4653935.

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Wang, Han-ning, Bi-ying Lu, Zhi-min Zhou, and Qian Song. "Through-the-wall imaging and correction based on the estimation of wall parameters." In 2011 IEEE CIE International Conference on Radar (Radar). IEEE, 2011. http://dx.doi.org/10.1109/cie-radar.2011.6159802.

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Li, Xin, Xiao-tao Huang, Chong-yi Fan, Wen-yan Liu, and Shi-rui Peng. "System characteristics of UWB Bistatic through-wall SAR." In 2011 IEEE CIE International Conference on Radar (Radar). IEEE, 2011. http://dx.doi.org/10.1109/cie-radar.2011.6159692.

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Inanan, Gokhan, Gokhan Pay, Volkan Hamurcu, and Ozgur Sutcuoglu. "Handheld Ultra-Wideband Through-Wall Radar." In 2017 Seminar on Detection Systems, Architectures and Technologies (DAT). IEEE, 2017. http://dx.doi.org/10.1109/dat.2017.7889197.

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Scmcykin, N., A. Dudnik, and V. Monahov. "Low frequency through-wall radar-detector." In 15th International Conference on Ground-Penetrating Radar (GPR) 2014. IEEE, 2014. http://dx.doi.org/10.1109/icgpr.2014.6970540.

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Reports on the topic "Through wall radar"

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Hunt, Allan. Through the Wall Imaging Radar. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada412971.

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van Doorn, Eric, and Satya Ponnaluri. Coherent Distributed Radar for High-Resolution Through-Wall Imaging. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada536759.

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van Doorn, Eric, and Satya Ponnaluri. Coherent Distributed Radar for High-Resolution Through-Wall Imaging. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada536765.

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van Doorn, Eric, and Satya Ponnaluri. Coherent Distributed Radar for High-Resolution Through-Wall Imaging. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada532820.

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van Doorn, Eric, and Satya Ponnaluri. Coherent Distributed Radar For High-Resolution Through-Wall Imaging. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada532862.

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van Doorn, Eric, and Satya Ponnaluri. Coherent Distributed Radar For High-Resolution Through-Wall Imaging. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada535035.

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van Doorn, Eric, and Satya Ponnaluri. Coherent Distributed Radar for High-Resolution Through-Wall Imaging. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada539726.

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Doorn, Eric van, and Satya Ponnaluri. Coherent Distributed Radar for High-Resolution Through-Wall Imaging. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada541419.

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van Doorn, Eric, Satya Ponnaluri, and Xlangfeng Wang. Coherent Distributed Radar for High-Resolution Through-Wall Imaging. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada521306.

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van Doorn, Eric, and Satya Ponnaluri. Coherent Distributed Radar for High-Resolution Through-Wall Imaging. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada562357.

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