米波MIMO雷达波束空间精确最大似然算法

doi:10.12305/j.issn.1001-506X.2022.05.12

Abstract

Abstract:

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.

Key words: multiple input multiple output (MIMO) radar, low-angle estimation, beam space, maximum

CLC Number:

TN95

Sheng CHEN, Yongbo ZHAO, Xiaojiao PANG, Yili HU, Chenghu CAO. Beam space refined maximum likelihood algorithm for VHF MIMO radar[J]. Systems Engineering and Electronics, 2022, 44(5): 1520-1526.

Figures/Tables 11

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阵元数	h_r/m	λ/m	d/m	波形
20	7	1	0.5	正交波形

θ₁	ρ	信噪比/dB	R_d/km
3°	-0.9	20	100

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Beam space refined maximum likelihood algorithm for VHF MIMO radar

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