基于小波變換的合成孔徑雷達(dá)運(yùn)動目標(biāo)多普勒參數(shù)提取算法
DOPPLER PARAMETER EXTRACTION OF MOVING TARGETS IN SAR IMAGING BY WAVELET TRANSFORM
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摘要: 本文基于合成孔徑雷達(dá)成象處理中運(yùn)動目標(biāo)回波信號的頻譜特點(diǎn)以及WVD變換的性質(zhì),討論了WVD的雙線性特性在用于運(yùn)動目標(biāo)多普勒參數(shù)提取,特別是用于多點(diǎn)目標(biāo)及面目標(biāo)成象處理時(shí)的缺陷,并結(jié)合小波變換特點(diǎn),分析了小波變換用于運(yùn)動目標(biāo)多普勒參數(shù)提取的可行性和用于多點(diǎn)目標(biāo)和面目標(biāo)情況下的內(nèi)在優(yōu)勢,在此基礎(chǔ)上提出了基于小波變換的合成孔徑雷達(dá)運(yùn)動目標(biāo)多普勒參數(shù)提取算法,計(jì)算機(jī)仿真結(jié)果驗(yàn)證了算法的可行性。Abstract: In this paper, the shortages of WVD s double-linearity in extracting the Doppler parameters of moving-targets are discussed, especially in multi-point moving-targets imaging processing based on the spectrum characteristics of moving-target echo signals in Synthetic Aperture Radar (SAR) imaging processing and the properties of WVD. Combined with the characteristics of Continuous Wavelet Transform (CWT), the responsibility and advantages of CWT in multi-point moving-target Doppler parameters extraction are analyzed. Finally a kind of multi-point moving- target Doppler parameters extracting algorithm based on CWT are developed, and the computer stimulating results demonstrate the correctness of the algorithm.
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Barbarossa S, Rarina A. Detection and Imaging of moving objects with SAR, Part 2: Joint Time-[2]Frequency Analysis by Wigner-Ville Distribution. IEE Proc.-F 1992, 139(1): 79-97.[3]王韜.合成孔徑雷達(dá)運(yùn)動目標(biāo)成象算法研究:[碩士論文].中國科學(xué)院電子學(xué)研究所,1995.[4]何峻湘.WVD用于SAR運(yùn)動目標(biāo)檢測和成象的參數(shù)估計(jì).電子科學(xué)學(xué)刊,1995, 17(6): 585-590. -
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