Beam space refined maximum likelihood algorithm for VHF MIMO radar

被引：0
|
作者：
Chen S. [1 ]
Zhao Y. [1 ]
Pang X. [1 ]
Hu Y. [1 ]
Cao C. [1 ]
机构：
[1] National Laboratory of Radar Signal Processing, Xidian University, Xi'an
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2022年 / 44卷 / 05期
关键词：
Beam space; Low-angle estimation; Maximum likelihood; Multiple input multiple output (MIMO) radar;
D O I：
10.12305/j.issn.1001-506X.2022.05.12
中图分类号：
学科分类号：
摘要：
Aiming at the problem that the low-angle estimation method of array element space multiple input multiple output (MIMO) radar has too much computation and data transmission, a refined maximum likelihood (RML) algorithm for MIMO radar based on beam space is proposed. The algorithm converts the data of array element space into beam space to reduce the dimension, and then uses the idea of maximum likelihood to measure the angle of beam space data. Computer simulation results show that compared with the RML algorithm of MIMO radar based on array element space, the proposed algorithm has good angle measurement performance and greatly reduces the operation time of the algorithm. At the same time, the effects of signal to noise ratio, low-angle, deviation between beam pointing and target low-angle, number of array elements, reflection coefficient error and antenna center height on the angle measurement performance of the proposed algorithm are analyzed by computer simulation. © 2022, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：1520 / 1526
页数：6
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