基于自適應(yīng)chirplet變換的ISAR瞬時(shí)成像的快速算法
Fast Algorithm for ISAR Instantaneous Imaging Based on Adaptive Chirplet Transform
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摘要: 在逆合成孔徑雷達(dá)(ISAR)瞬時(shí)成像中，針對(duì)自適應(yīng)chirplet分解方法運(yùn)算量大，對(duì)信號(hào)的逼近精度有限等問題，提出了一種瞬時(shí)成像快速算法。該方法在參數(shù)粗搜索的基礎(chǔ)上，將多維參數(shù)搜索過程轉(zhuǎn)化為超越方程的求解問題。與傳統(tǒng)方法比較，該方法不僅運(yùn)算速度快，計(jì)算量小，而且參數(shù)估計(jì)精度高。仿真和真實(shí)雷達(dá)數(shù)據(jù)用此方法均能成出質(zhì)量較好的ISAR圖像。因而此快速算法是一種有效的ISAR瞬時(shí)成像的快速算法。Abstract: In Inverse Synthetic Aperture Radar(ISAR) instantaneous imaging, to solve the problems of big computation burden and limited approach precision of adaptive chirplet transform, a fast algorithm is proposed. Based on parameter coarse estimation, it converts a multi-dimension optimization process into a problem of equation solving. Comparing with the conventional algorithm, the proposed algorithm is not only fast but also more acute. Applying the algorithm into simulating and real radar data can reconstruct ISAR images of good quality. It shows that the proposed fast algorithm is an efficient ISAR instantaneous imaging algorithm.
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