部分发射天线损毁时MIMO雷达信号认知优化  

Cognitive optimization for MIMO radar signal with part of transmitting antennas damaged

作　　者：兰星[1] 李伟[1] 颜佳冰[1] 王兴亮[1] 邹鲲[1] 翟庆林[2] 

机构地区：[1]空军工程大学信息与导航学院,西安710077 [2]国防科技大学电子科学与工程学院,长沙410073

出　　处：《重庆邮电大学学报（自然科学版）》2016年第2期168-173,共6页Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)

基　　金：国家自然科学基金(61302153);航空基金(20140196003);航天科技创新基金(CASC020302)~~

摘　　要：针对电子战环境中多输入多输出(multiple input multiple output,MIMO)雷达部分发射天线遭受摧毁时目标检测问题,提出基于互信息量(mutual information,MI)准则的雷达感知天线状态并再次优化的算法。作为MIMO雷达信号优化设计方法之一,注水法能依据环境状况自适应分配发射信号功率,所提算法能提升分配功率的注水水位,降低天线损毁时目标脉冲响应与目标回波间互信息量损失,进而改善目标检测概率(target detection probability,TDP)。仿真结果表明,低检测性能天线损毁时,当信噪比大于0 d B时采用所提方法能提升互信息量;高检测性能天线损毁时,采用所提算法能有效提升互信息量和目标检测概率。信噪比为20 d B时,互信息量提升4.96 nat;若以达到同一检测概率时所需信噪比的减少量表示性能增益,则检测概率为0.8时,性能增益为3.73 d B。Aiming at the problem of target detection when part of multiple input multiple output（ MIMO） radar transmitting antennas are damaged in the electronic warfare environment,a reoptimization algorithm with antenna condition perceived is proposed based on mutual information（ MI） criterion. As one of optimization method to design waveform of MIMO radar,water-filling adaptively distributes emission signal power based on environment. Because water-filling level of power allocation is improved by the reoptimization algorithm,loss of MI between the target impulse response and the reflected signal is reduced,and target detection probability（ TDP） is enhanced. Simulation results indicate that when poor performance antenna is damaged,MI can be enhanced by the proposed method if signal-to-noise ratio（ SNR） is greater than 0 d B; when good performance antenna is damaged,the proposed algorithm brings significant enhancement of MI and TDP,especially,MI is improved by 4. 96 nat if SNR is 20 d B; when TDP is fixed to 0. 8,3. 73 d B performance gains can be gotten,which is the drop of SNR to achieve the same TDP.

关 键 词：MIMO雷达 互信息量 认知优化 目标检测概率 

分 类 号：TN957[电子电信—信号与信息处理]