RCS sequence reconstruction based on ADMM sparse ISAR imaging

Yingjun Li, B. Tian, Ruize Li, Yongxiang Liu
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Abstract

Aiming at the problem of radar echo missing in azimuth direction and the problem of high costs of radar echo measurement in microwave chamber and in outfield, a method of radar cross section (RCS) sequence reconstruction based on Alternating Direction Method of Multipliers (ADMM) sparse ISAR imaging is developed in this paper. Firstly, the gapped RCS sequence is transformed into high resolution range profile (HRRP). Secondly, the ADMM algorithm is applied to obtain the sparse ISAR image of the target, which is theoretically the same as the real ISAR image. Finally, the 2D-IFFT is conducted to recover the RCS sequence. Benefits of this approach include breaking the Nyquist limit and suppressing the noise interference. Simulation results confirmed the effectiveness of the presented method.
基于ADMM稀疏ISAR成像的RCS序列重建
针对方位方向雷达回波缺失和微波室及外场雷达回波测量成本高的问题,提出了一种基于ADMM稀疏ISAR成像的雷达截面序列重建方法。首先,将间隙RCS序列转化为高分辨率距离像(HRRP);其次,应用ADMM算法得到目标的稀疏ISAR图像,该图像理论上与真实ISAR图像相同;最后,进行2D-IFFT恢复RCS序列。这种方法的优点包括打破奈奎斯特极限和抑制噪声干扰。仿真结果验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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