Error Analysis of Radar Coincidence Imaging in the Presence of Noise

Radar coincidence imaging is a new method for high-resolution staring imaging. First, the mathematical model is constructed. Second, the theoretical error for radar coincidence imaging in the presence of noise is derived using the parametric imaging method. Third, the factors that affect the error a...

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Main Authors: Dai Qiang, Cheng Yong-qiang, Qin Yu-liang, Wang Hong-qiang, Li Xiang
Format: Article
Language:English
Published: China Science Publishing & Media Ltd. (CSPM) 2014-10-01
Series:Leida xuebao
Subjects:
Online Access:http://radars.ie.ac.cn/EN/abstract/abstract197.shtml#
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author Dai Qiang
Cheng Yong-qiang
Qin Yu-liang
Wang Hong-qiang
Li Xiang
author_facet Dai Qiang
Cheng Yong-qiang
Qin Yu-liang
Wang Hong-qiang
Li Xiang
author_sort Dai Qiang
collection DOAJ
description Radar coincidence imaging is a new method for high-resolution staring imaging. First, the mathematical model is constructed. Second, the theoretical error for radar coincidence imaging in the presence of noise is derived using the parametric imaging method. Third, the factors that affect the error are analyzed. Fourth, the sparse reconstruction algorithm is used to perform numerical simulations of radar coincidence imaging with different parameters. Finally, the effects of signal bandwidth, array configuration, size of the imaging unit, and target complexity on image error in the presence of noise are discussed. This study provides the theoretical framework for parameters selection and SNR requirements for radar coincidence imaging systems.
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spelling doaj.art-7eade9b0f5364eb48a2ae3366a5ffa4b2023-12-02T18:21:35ZengChina Science Publishing & Media Ltd. (CSPM)Leida xuebao2095-283X2095-283X2014-10-013554154710.3724/SP.J.1300.2014.14029Error Analysis of Radar Coincidence Imaging in the Presence of NoiseDai Qiang0Cheng Yong-qiang1Qin Yu-liang2Wang Hong-qiang3Li Xiang4School of Electronic Science and Engineering, National University of Defense TechnologySchool of Electronic Science and Engineering, National University of Defense TechnologySchool of Electronic Science and Engineering, National University of Defense TechnologySchool of Electronic Science and Engineering, National University of Defense TechnologySchool of Electronic Science and Engineering, National University of Defense TechnologyRadar coincidence imaging is a new method for high-resolution staring imaging. First, the mathematical model is constructed. Second, the theoretical error for radar coincidence imaging in the presence of noise is derived using the parametric imaging method. Third, the factors that affect the error are analyzed. Fourth, the sparse reconstruction algorithm is used to perform numerical simulations of radar coincidence imaging with different parameters. Finally, the effects of signal bandwidth, array configuration, size of the imaging unit, and target complexity on image error in the presence of noise are discussed. This study provides the theoretical framework for parameters selection and SNR requirements for radar coincidence imaging systems.http://radars.ie.ac.cn/EN/abstract/abstract197.shtml#Radar coincidence imagingNoiseError analysis
spellingShingle Dai Qiang
Cheng Yong-qiang
Qin Yu-liang
Wang Hong-qiang
Li Xiang
Error Analysis of Radar Coincidence Imaging in the Presence of Noise
Leida xuebao
Radar coincidence imaging
Noise
Error analysis
title Error Analysis of Radar Coincidence Imaging in the Presence of Noise
title_full Error Analysis of Radar Coincidence Imaging in the Presence of Noise
title_fullStr Error Analysis of Radar Coincidence Imaging in the Presence of Noise
title_full_unstemmed Error Analysis of Radar Coincidence Imaging in the Presence of Noise
title_short Error Analysis of Radar Coincidence Imaging in the Presence of Noise
title_sort error analysis of radar coincidence imaging in the presence of noise
topic Radar coincidence imaging
Noise
Error analysis
url http://radars.ie.ac.cn/EN/abstract/abstract197.shtml#
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AT wanghongqiang erroranalysisofradarcoincidenceimaginginthepresenceofnoise
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