中文摘要：

多输入多输出（multiple-input-multiple-output,MIMO）雷达利用灵活的发射波形设计以及阵列配置,在微弱目标探测及高分辨参数估计方面有着巨大优势.为侦察识别MIMO雷达信号,建立了MIMO雷达信号侦察模型.基于最大似然估计以及交替投影算法,并利用MIMO雷达信号的恒模特性对MIMO雷达信号进行了盲分离.通过理论推导和数值仿真分析了所提算法分离MIMO雷达信号的性能.结果表明该算法在信噪比高于0d B时,其分离后的信号与原信号具有很高的相关系数,且分离指数较低,性能明显优于现有的非圆复信号Fast ICA（non-circular complex Fast ICA,NC-Fast ICA）算法.

英文摘要：

Exploiting brisk transmit waveforms and elaborate array configuration,multiple-input-multiple-output（ MIMO） radar system has significant advantages in weak-target detection and high-resolution parameter estimation. In this paper,a mathematical model is established for interception,reconnaissance and identification of MIMO radar signals. By using maximum likelihood estimation and alternating projection,an algorithm which makes use of the constant modulus property of the radar signals is proposed for blind separation of MIMO radar signals. Both theoretical and numerical results are provided to demonstrate the performance of the proposed algorithm. It is shown that,if the signal to noise ratio（ SNR） is higher than0 d B,the proposed algorithm can achieve a satisfactory separation performance and the correlations of the separated signals with the original signals are very high. Moreover,the proposed algorithm significantly outperforms the existing non-circular complex fast independent component analysis（ NC-Fast ICA） algorithm.