联合准则下的认知雷达波形设计

doi:10.12305/j.issn.1001-506X.2022.11.10

Abstract

Abstract:

A method of radar waveform design based on joint optimization criteria is proposed for multiple modes and tasks in different environments, this method comprehensively considers the mutual information and signal to interference noise ratio. With the transmitted signal energy constraint, the optimal waveform is solved by the maximum marginal allocation algorithm, the gradient of mutual information and signal to interference noise ratio is discussed. mutual information and signal to interference noise ratio are improved concurrently and they are optimized independently according to launch requirements when the coefficients are changed. Finally, the signal model realizes parameter estimation, testing or discernment with one or fewer observations, aiming at providing research basis for multi-function model design of radar waveform optimization.

Key words: cognitive radar, waveform design, objective function, joint optimization criterion, the maximum edge allocation algorithm

CLC Number:

TN95

Yali CAO, Meimei LI, Shihan QU, Xin SONG. Waveform design of cognitive radar based on joint criteria[J]. Systems Engineering and Electronics, 2022, 44(11): 3364-3370.

Figures/Tables 9

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References 31

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算法	优化准则	互信息/nats	信干比/dB
拉格朗日乘子法	MI	0.436 8	0.464 0
最大边缘分配算法 (P=128)	MS	0.405 7	0.433 8
	MI	0.405 7	0.433 3
	SINR	0.405 4	0.434 0
最大边缘分配算法 (P=1 000)	MS	0.439 8	0.469 4
	MI	0.439 9	0.469 2
	SINR	0.439 5	0.469 5
最大边缘分配算法 (P=5 000)	MS	0.440 7	0.470 4
	MI	0.440 8	0.470 1
	SINR	0.440 5	0.470 5

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Waveform design of cognitive radar based on joint criteria

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