Monostatic MIMO radar direction finding in impulse noise

被引：14
|
作者：
Gao, Hongyuan [1 ]
Chen, Menghan [1 ]
Du, Yanan [1 ]
Jakobsson, Andreas [2 ]
机构：
[1] Harbin Engn Univ, Coll Informat & Commun Engn, Harbin 150001, Peoples R China
[2] Lund Univ, Ctr Math Sci, Math Stat, S-22100 Lund, Sweden
来源：
DIGITAL SIGNAL PROCESSING | 2021年 / 117卷
基金：
中国国家自然科学基金;
关键词：
Monostatic MIMO radar; Direction-finding; Impulse noise; Maximum likelihood method; Cramer-Rao bound; COHERENT DOA ESTIMATION; OF-ARRIVAL ESTIMATION; LOWER ORDER MOMENTS; PERFORMANCE; ALGORITHM; BEHAVIOR; MUSIC;
D O I：
10.1016/j.dsp.2021.103198
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This work considers direction-finding using a monostatic multiple-input multiple-output (MIMO) radar in the presence of impulsive noise. Employing a novel low-order covariance-based exponential kernel function, the proposed maximum likelihood (ML) formulation exploits an introduced quantum whale optimization algorithm (QWOA) to form the direction estimates. The resulting estimates are shown to be robust to the presence of impulsive noise, offering preferable performance as compared to recent related approaches, even in cases when the number of available snapshots is small. (C) 2021 Elsevier Inc. All rights reserved.
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页数：10
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