相关噪声干扰环境中认知MIMO雷达波形优化设计  

Waveform Design for Cognitive MIMO Radar Under Correlated Noise Jamming

作　　者：兰星[1] 李伟[1] 王兴亮[1] 吴昊天[1] 欧建平[2] 

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

出　　处：《测控技术》2015年第8期114-118,共5页Measurement & Control Technology

基　　金：国家自然科学基金(61302153);航空科学基金(20122096011);航天科技创新基金(CASC040203)

摘　　要：针对相关噪声干扰环境中认知MIMO雷达扩展目标检测的问题,提出基于最大化目标脉冲响应与目标回波之间的条件互信息量的准则,应用通用注水法优化设计波形。给出了最大条件互信息量表达式及噪声干扰协方差矩阵特征值与信号权值对应关系。仿真结果证明,优化信号可合理分配功率,使系统具有更强噪声干扰抑制能力,改善目标检测性能;空间自由度及信号长度对优化信号的影响,对于MIMO雷达实际应用有一定借鉴意义。The method applied generalized water filling,which based on maximum conditional mutual information between the target echo and impulse response used to solve the problem of cognitive MIMO radar optimal waveform design for extended target detection in the presence of correlated noise jamming is proposed.The form of maximum conditional mutual information and the corresponding relationship between the eigenvalue of noise jamming covariance matrix and the weight of signal are given.The simulation results indicate that the optimized signal can reasonably allocate power to make the system has strong ability of noise jamming suppression,and target detection performance is improved,the influence on the optimized signal of spatial degrees of freedom and signal length is valuable to MIMO radar＇ s practical application.

关 键 词：认知MIMO雷达 通用注水法 条件互信息量 相关噪声 

分 类 号：TN957[电子电信—信号与信息处理]