首页|GS-orthogonalization OMP method for space target detection via bistatic space-based radar
GS-orthogonalization OMP method for space target detection via bistatic space-based radar
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A space-based bistatic radar system composed of two space-based radars as the transmit-ter and the receiver respectively has a wider surveillance region and a better early warning capability for high-speed targets,and it can detect focused space targets more flexibly than the monostatic radar system or the ground-based radar system.However,the target echo signal is more difficult to process due to the high-speed motion of both space-based radars and space targets.To be speci-fic,it will encounter the problems of Range Cell Migration(RCM)and Doppler Frequency Migra-tion(DFM),which degrade the long-time coherent integration performance for target detection and localization inevitably.To solve this problem,a novel target detection method based on an improved Gram Schmidt(GS)-orthogonalization Orthogonal Matching Pursuit(OMP)algorithm is proposed in this paper.First,the echo model for bistatic space-based radar is constructed and the conditions for RCM and DFM are analyzed.Then,the proposed GS-orthogonalization OMP method is applied to estimate the equivalent motion parameters of space targets.Thereafter,the RCM and DFM are corrected by the compensation function correlated with the estimated motion parameters.Finally,coherent integration can be achieved by performing the Fast Fourier Transform(FFT)operation along the slow time direction on compensated echo signal.Numerical simulations and real raw data results validate that the proposed GS-orthogonalization OMP algo-rithm achieves better motion parameter estimation performance and higher detection probability for space targets detection.
Bistatic space-based radarHigh-speed maneuvering space targets detectionRange Cell Migration(RCM)Doppler Frequency Migra-tion(DFM)Gram Schmidt(GS)-orthogonalization Orthogo-nal Matching Pursuit(OMP)algorithm
Shuyu ZHENG、Libing JIANG、Qingwei YANG、Yingjian ZHAO、Zhuang WANG
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National Key Laboratory of Science and Technology on Automatic Target Recognition,College of Electronic Science and Technology,National University of Defense Technology,Changsha 410073,China
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