一種穩(wěn)健的雷達(dá)成像超分辨算法
A ROBUST SUPER RESOLUTION ALGORITHM FOR RADAR IMAGING
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摘要: 在機(jī)動(dòng)目標(biāo)的ISAR成像情形下，由于目標(biāo)散射點(diǎn)回波信號(hào)的多普勒頻率不再保持恒定，此時(shí)若用常規(guī)的超分辨算法來提高橫向距離分辨率，則由于模型誤差將使得算法性能下降或失效。該文采用上述情形的多普勒頻率的分段一階近似模型，在此基礎(chǔ)上，提出一種基于推廣RELAX算法的線性調(diào)頻信號(hào)參量估計(jì)方法。文中同時(shí)給出了數(shù)值模擬結(jié)果。
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關(guān)鍵詞:
- 線性調(diào)頻信號(hào); 超分辨; ISAR成像
Abstract: Super resolution Algorithms can be used to obtain high resolution in ISAR imaging.But in the case of maneuvering target,the Doppler frequency of received signal scattered by target will not be constant,and these algorithms always suffer from the signal model error or fail completely when they are used in the cross range.In this paper,the first order approximate model of Doppler frequency is assumed,and an algorithm based on the extended RELAX method is proposed to estimate the parameters of chirp signals.The Cramer-Rao bounds are derived and simulation results are also present to demonstrate the performance of the algorithm. -
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