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

Kaikai Chao; Xinyu Zhang; Kai Huo; Weidong Jiang

doi:10.1117/12.2501766

26 July 2018 A fast CUM-m-Capon algorithm for DOA estimation based on fourth-order cumulant

Kaikai Chao, Xinyu Zhang, Kai Huo, Weidong Jiang

Proceedings Volume 10828, Third International Workshop on Pattern Recognition; 108281A (2018) https://doi.org/10.1117/12.2501766
Event: Third International Workshop on Pattern Recognition, 2018, Jinan, China

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.

Citation Download Citation

Kaikai Chao, Xinyu Zhang, Kai Huo, and Weidong Jiang "A fast CUM-m-Capon algorithm for DOA estimation based on fourth-order cumulant", Proc. SPIE 10828, Third International Workshop on Pattern Recognition, 108281A (26 July 2018); https://doi.org/10.1117/12.2501766

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