FDA-MIMO雷达发射波形与接收滤波器鲁棒联合优化设计

doi:10.12305/j.issn.1001-506X.2025.11.11

Abstract

Abstract:

To improve the adaptability of radar systems in complex electromagnetic environments, a joint optimization method for transmit waveform and receive filter with target parameter uncertainties is proposed. A robust optimization model is established using the worst-case received signal-to-clutter-plus-noise ratio （SCNR） as the criterion. Waveform modulus constraint and filter energy constraint are incorporated to construct a non-convex quadratic fractional programming problem. A hybrid optimization algorithm is designed based on the alternating direction method of multipliers （ADMM） and majorization-minimization （MM）. This algorithm achieves joint solutions for transmit waveform and receive filter through an alternating iterative strategy. Simulation experiment results demonstrate that compared with other algorithms, the method have advantages in robust detection performance, which verify the convergence of the proposed algorithm.

Key words: frequency diverse array-multiple input multiple output （FDA-MIMO） radar, robust transceiver joint design, signal-to-clutter-plus-noise ratio （SCNR）, alternating direction method of multipliers （ADMM）

CLC Number:

TN 972

Qinxian CHEN, Chao HUANG, Qingsong ZHOU, Zhihui LI, Junpeng SHI, Jing WANG. Robust joint optimization design of transmit waveform and receive filter for FDA-MIMO radar[J]. Systems Engineering and Electronics, 2025, 47(11): 3626-3634.

Figures/Tables 5

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Table 1

References 31

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实验组	最小SCNR				最大SCNR				平均SCNR
实验组	算法I	算法II	算法III	算法IV	算法I	算法II	算法III	算法IV	算法I	算法II	算法III	算法IV
1	23.8204	−0.173	0.7193	20.7197	26.4515	34.8481	36.0063	34.5711	24.7378	16.6601	21.3249	32.6743
2	21.7594	−0.374	0.1162	−3.8239	24.9505	35.2517	34.8894	28.2129	22.8221	19.3030	19.5414	26.2097
3	20.2055	0.0212	0.0985	−3.8240	25.7365	35.1601	34.1956	28.2129	21.7116	18.0347	22.5245	26.1546

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Robust joint optimization design of transmit waveform and receive filter for FDA-MIMO radar

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