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Proceedings Paper

A fast CUM-m-Capon algorithm for DOA estimation based on fourth-order cumulant
Author(s): Kaikai Chao; Xinyu Zhang; Kai Huo; Weidong Jiang
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Paper 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.

Paper Details

Date Published: 26 July 2018
PDF: 8 pages
Proc. SPIE 10828, Third International Workshop on Pattern Recognition, 108281A (26 July 2018); doi: 10.1117/12.2501766
Show Author Affiliations
Kaikai Chao, National Univ. of Defense Technology (China)
Xinyu Zhang, National Univ. of Defense Technology (China)
Kai Huo, National Univ. of Defense Technology (China)
Weidong Jiang, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 10828:
Third International Workshop on Pattern Recognition
Xudong Jiang; Zhenxiang Chen; Guojian Chen, Editor(s)

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