摘要
针对杂波、噪声和干扰环境中弹载雷达扩展目标检测识别问题,结合认知理论,在频域基于最小均方误差(minimum mean-square error,MMSE)准则提出一种新的雷达发射波形优化算法,用以抑制杂波和对抗干扰。建立雷达信号时频模型,通过目标参数贝叶斯估计构造以均方误差为代价的功率受限目标函数,利用拉格朗日乘子法得出最小代价发射信号频域能量最优波形表达式。仿真结果表明,算法能够针对目标频率响应和杂波、干扰的相对强度合理分配发射信号的频域能量,提高目标估计精确度,优化雷达检测识别性能;仿真条件下,最小均方误差准则优化波形目标识别性能优于互信息量准则。
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.
作者
蒋孟燃
李伟
兰星
王玉玺
JIANG Meng-ran;LI Wei;LAN Xing;WANG Yu-xi(Unit 95486 of PLA,Chengdu 610043,China;School of Information and Navigation,Air Force Engineering University,Xi’an 710077,China;Dalian Airforce Communication NCO Academy,Dalian 116600,China)
出处
《火力与指挥控制》
CSCD
北大核心
2018年第4期158-164,共7页
Fire Control & Command Control
基金
国家自然科学基金(61302153
61571456)
航空科学基金资助项目(20140196003)
关键词
波形设计
认知
最小均方误差
弹载雷达
waveform design
cognitive
minimum mean-square error
missile-borne radar
