火力与指挥控制2018，Vol.43Issue(4)：158-164,7.DOI:10.3969/j.issn.1002-0640.2018.04.035
干扰条件下基于MMSE准则的弹载雷达认知波形优化
Cognitive Waveform Optimization for Missile-Borne Radar Using MMSE Criterion
摘要
Abstract
To solve the problem of the extended target detection,identification for the missile-borne radar under noise,clutter and jamming,a new waveform design algorithm for clutter suppression and jamming reduction based on cognitive theory and minimum mean-square error(MMSE) criterion is proposed. Firstly,time-frequency model of radar signal is built. Then the target function constrained by power is calculated through target Bayes estimation with cost of MSE. Lastly,the optimized energy waveform expression equation in frequency domain with minimum cost using Lagrangian multiplier method. Experimental results indicate that,the algorithm could improve estimation accuracy and optimize the detection and identification performance by redistributing the energy of the signal on frequency refer to the target frequency response,clutter and jamming. In the condition of simulation,the optimized waveform using MMSE criterion has a better identification performance than mutual information criterion.关键词
波形设计/认知/最小均方误差/弹载雷达Key words
waveform design/cognitive/minimum mean-square error/missile-borne radar分类
信息技术与安全科学引用本文复制引用
蒋孟燃,李伟,兰星,王玉玺..干扰条件下基于MMSE准则的弹载雷达认知波形优化[J].火力与指挥控制,2018,43(4):158-164,7.基金项目
国家自然科学基金(61302153 （）
61571456) （）
航空科学基金资助项目(20140196003) （20140196003）
