The signal separation method based on the short time Fourier transform (STFT) and the L-statistics can effectively eliminate the interference of the micro-Doppler effect on inverse synthetic aperture radar (ISAR) imaging. The insufficient frequency resolution of STFT will result in poor interference cancellation when the azimuth range between two adjacent scatterers is small. Then, a novel method for the elimination of micro-Doppler effect in ISAR imaging based on the time recursive iterative adaptive approach (TRIAA) is proposed here. This method uses the TRIAA technique to improve the frequency resolution compared with STFT, thereby enhancing the ability to process the complicated signal. The ISAR imaging results for the simulation model and raw data illustrate the effectiveness of the algorithm here.

中文翻译：

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基于时间递归迭代自适应方法的ISAR成像中的微多普勒效应消除

基于短时傅立叶变换（STFT）和L统计量的信号分离方法可以有效地消除微多普勒效应对反合成孔径雷达（ISAR）成像的干扰。当两个相邻散射体之间的方位角范围较小时，STFT的频率分辨率不足会导致干扰消除效果差。然后，提出了一种基于时间递归迭代自适应方法（TRIAA）的ISAR成像中消除微多普勒效应的新方法。与STFT相比，该方法使用TRIAA技术提高了频率分辨率，从而增强了处理复杂信号的能力。仿真模型和原始数据的ISAR成像结果说明了该算法的有效性。