A fast CUM-m-Capon algorithm for DOA estimation based on fourth-order cumulant

K. Chao, Xinyu Zhang, K. Huo, Weidong Jiang
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Abstract

The problem of super-resolution DOA estimation in very low SNR has attracted much interest for decades. In this paper we proposed a fast DOA estimation algorithm based on fourth-order cumulant for MIMO system radar. Combining with the average matrix dimension reduction technique the proposed CUM-m-Capon DOA estimation algorithm can achieve improved performance of DOA estimation. From Matlab simulation result, we can see that the proposed algorithm has a high resolution at low SNR. After adopting the average dimension reduction technique, the complexity of the algorithm is lower. The test using measured data shows that the proposed method could achieve better accuracy and robustness.
基于四阶累积量的快速com -m- capon DOA估计算法
超低信噪比下的超分辨DOA估计问题已经引起了人们的广泛关注。本文提出了一种基于四阶累积量的MIMO系统雷达快速DOA估计算法。结合平均矩阵降维技术,提出的cm -m- capon DOA估计算法可以提高DOA估计的性能。从Matlab仿真结果可以看出,该算法在低信噪比下具有较高的分辨率。采用平均降维技术后,降低了算法的复杂度。实测数据测试表明,该方法具有较好的精度和鲁棒性。
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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