A fast CUM-m-Capon Algorithm for DOA Estimation Based on Fourth-order Cumulant

被引：1

作者：

Chao, Kaikai ^{[1
]}

Zhang, Xinyu ^{[1
]}

Huo, Kai ^{[1
]}

Jiang, Weidong ^{[1
]}

机构：

[1] Natl Univ Def Technol, Changsha, Hunan, Peoples R China

来源：

THIRD INTERNATIONAL WORKSHOP ON PATTERN RECOGNITION | 2018年 / 10828卷

基金：

美国国家科学基金会;

关键词：

MIMO Radar; fourth-order cumulant; High resolution; Matrix dimension reduction technique; Very low SNR; MIMO RADAR;

D O I：

10.1117/12.2501766

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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.

引用

页数：8

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