本文選題：雙站合成孔徑雷達(dá) + 前視成像��； 參考：《紅外與毫米波學(xué)報》2017年04期

【摘要】：結(jié)合毫米波體制和雙站毫米波合成孔徑雷達(dá)(SAR)前視成像技術(shù),開展毫米波雙站SAR前視成像算法的研究.在雙站SAR前視成像系統(tǒng)中,較大的前視角引入了多普勒質(zhì)心偏移和嚴(yán)重的距離徙動,因此普通雙站SAR的成像算法無法直接移植到雙站SAR前視成像中.針對以上問題,論文首先提出了一種基于瞬時多普勒分析的改進(jìn)Loffeld's Bistatic Formula(MLBF)二維頻譜求解方法,相比于現(xiàn)有方法,該方法能更準(zhǔn)確的得到雙站SAR前視回波信號的二維頻譜.在此基礎(chǔ)上又推導(dǎo)出了適用于毫米波雙站SAR前視成像的Omega-k算法;最后通過仿真實驗,驗證了提出算法的有效性和優(yōu)越性.
[Abstract]:Combined with millimeter-wave system and bistatic millimeter-wave synthetic aperture radar (SAR) forward imaging technology, the research of millimeter-wave bistatic SAR forward imaging algorithm is carried out. In the bistatic SAR forward imaging system, the large forward angle of view introduces the Doppler centroid migration and the serious range migration, so the conventional bistatic SAR imaging algorithm can not be directly transplanted to the bistatic SAR forward imaging. In order to solve the above problems, an improved LoffeldsBistatic Formula (MLBF) two-dimensional spectrum solution based on instantaneous Doppler analysis is proposed in this paper. Compared with the existing methods, this method can obtain the 2-D spectrum of bistatic SAR forward echo more accurately. The Omega-k algorithm for millimeter-wave bistatic SAR forward imaging is derived, and the effectiveness and superiority of the proposed algorithm are verified by simulation experiments.
【作者單位】： 南京理工大學(xué)電子工程與光電技術(shù)學(xué)院;
【基金】：江蘇省自然科學(xué)基金(BK20160847) 國家自然科學(xué)基金(61471198)~~
【分類號】：TN957.52

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1 劉玉春;王俊;張各各;;改進(jìn)的基于MSR二維譜的OMEGA-K雙基SAR成像算法[J];吉林大學(xué)學(xué)報(工學(xué)版);2014年01期

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