基于自适应chirplet变换的ISAR瞬时成像的快速算法
Fast Algorithm for ISAR Instantaneous Imaging Based on Adaptive Chirplet Transform
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摘要: 在逆合成孔径雷达(ISAR)瞬时成像中,针对自适应chirplet分解方法运算量大,对信号的逼近精度有限等问题,提出了一种瞬时成像快速算法。该方法在参数粗搜索的基础上,将多维参数搜索过程转化为超越方程的求解问题。与传统方法比较,该方法不仅运算速度快,计算量小,而且参数估计精度高。仿真和真实雷达数据用此方法均能成出质量较好的ISAR图像。因而此快速算法是一种有效的ISAR瞬时成像的快速算法。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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