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9 August 2018 A novel range profile compensation method of high speed target for ISAR
Chuangzhan Zeng, Weigang Zhu, Xin Jia
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Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 108065U (2018) https://doi.org/10.1117/12.2502892
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China
Abstract
High Speed Motion of target will lead to the peak splitting and spectrum spreading of the range profile, which does harm to the traditional R-D imaging algorithm. Due to the low processing bandwidth, the previous high speed compensation methods are mostly based on the Stretch system, where the echo signals are modeled as multi-component LFM signals, and motion compensation is achieved by estimating the chirp rate. However, these methods cannot be directly applied to the matched filtering system, so the coherence of the echoes cannot be utilized. For this, a range profile compensation algorithm of high speed target for ISAR based on wideband Radon-Fourier transform (WRFT) is proposed. The response function of the wideband matched filter is firstly given, and at second the motion of the target is projected to the rangevelocity plane by WRFT, so as to realize the coherent accumulation of signal energy. At last, with the accurate estimated velocity of the target, a compensation function is constructed to eliminate the range walk. Furthermore, a compensation method based on wideband generalized Radon-Fourier transform (WGRFT) for high speed high maneuvering is deduced. Simulation results show the effectiveness of the range profile compensation algorithms.
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Chuangzhan Zeng, Weigang Zhu, and Xin Jia "A novel range profile compensation method of high speed target for ISAR", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108065U (9 August 2018); https://doi.org/10.1117/12.2502892
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KEYWORDS
Doppler effect
Electronic filtering
Motion estimation
Detection and tracking algorithms
Motion models
Image filtering
Signal processing
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