基于交替投影的MIMO雷达信号盲分离算法研究

发布时间：2018-02-13 14:19

本文关键词： MIMO雷达信号盲分离最大似然估计交替投影恒模特性　出处：《电子学报》2017年09期 　论文类型：期刊论文

【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.
[Abstract]:Multi-input multiple-output multiple-output multiple-output MIMO radar has a great advantage in weak target detection and high-resolution parameter estimation by using flexible waveform design and array configuration. Based on the maximum likelihood estimation and alternating projection algorithm, the MIMO radar signal reconnaissance model is established. The blind separation of MIMO radar signal is carried out by using the constant modulus of MIMO radar signal. The performance of the proposed algorithm for separating MIMO radar signal is analyzed by theoretical derivation and numerical simulation. The results show that the proposed algorithm has a signal-to-noise ratio (SNR) higher than 0dB. The separated signal has a high correlation coefficient with the original signal, and the separation index is low, and its performance is obviously superior to the existing Fast ICA(non-circular complex Fast ICANC-Fast ICA algorithm.
【作者单位】：合肥电子工程学院504教研室;
【基金】：国家自然科学基金(No.61671453,No.61201379) 安徽省自然科学基金(No.1608085MF123)
【分类号】：TN957.51

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