Research on Cooperative Interference Allocation of Jamming Resources Based on Improved Genetic Algorithm

doi:10.16182/j.issn1004731x.joss.25-FZ0648

Abstract

Abstract:

To address the cooperative interference allocation of jamming tasks, a cooperative interference allocation method of jamming resources was proposed based on the improved genetic algorithm. In search and tracking modes of the target radar, a threat level assessment was conducted by the technique for order preference by similarity to an ideal solution (TOPSIS) based on the entropy weight method. The factors affecting the jamming effectiveness of jammers were analyzed. A cooperative interference evaluation model of jamming effectiveness was established, and the allocation model of jamming resources was built with the total interference effectiveness of multiple jammers as the objective function and the interference ability of a single jammer as the constraint condition. The genetic algorithm was improved by incorporating elite preservation operations and applying self-adaptive parameters, and the allocation model of jamming resources was optimized. The simulation results have shown that the improved genetic algorithm has significantly enhanced the operating speed and optimization probability compared with the standard genetic algorithm, effectively solving the cooperative interference allocation of jamming resources.

Key words: radar network, allocation of jamming resource, threat level assessment, jamming effectiveness evaluation, genetic algorithm

CLC Number:

TP391.9

Xu Zhixia, Wang Rui, Sun Nan, He Bing, Shen Xiaowei, Zhu Xiaofei. Research on Cooperative Interference Allocation of Jamming Resources Based on Improved Genetic Algorithm[J]. Journal of System Simulation, 2025, 37(12): 3176-3189.

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雷达	距离/km	高度/km	载频/GHz	重频/Hz	脉宽/μs
R₁	145	8.2	2.2	313	30
R₂	310	69	12	385	9
R₃	130	11.2	10	2 500	25
R₄	507	60	8	385	27
R₅	823	100	2	500	25
R₆	179	40	9.6	1 250	16
R₇	138	7.9	11	2 000	13
R₈	187	15	4.8	900	40

雷达工作模式	距离	高度	载频	重频	脉宽
搜索模式	0.16	0.19	0.36	0.20	0.09
跟踪模式	0.16	0.21	0.15	0.27	0.21

模式	R₁	R₂	R₃	R₄	R₅	R₆	R₇	R₈
搜索	0.92	0.27	0.47	0.45	0.58	0.42	0.43	0.78
跟踪	0.53	0.45	0.85	0.34	0.14	0.63	0.87	0.56

	J₁	J₂	J₃	J₄
R₁	0.8	0.6	0.2	0.5
R₂	0.5	0.6	0.2	0.9
R₃	0.6	0	0.7	0.4
R₄	0.4	0.4	0.6	0.8
R₅	0	0.4	0.8	0.7
R₆	0.4	0.8	0.9	0.3
R₇	0.7	0.5	0.5	0.6
R₈	0.5	0.7	0.6	0.5

模式	R₁	R₂	R₃	R₄	R₅
搜索	0.27	0.48	0.68	0.44	0.73
跟踪	0.16	0.61	0.48	0.66	0.56