基于新侦察模型的MIMO雷达波形分离技术  

Waveform Separation Technique of MIMO Radar Based on a New Detection Model

作　　者：徐加驹 饶鲜[1] 

机构地区：[1]西安电子科技大学,西安710071

出　　处：《电子对抗》2017年第6期41-47,共7页Electronic Warfare

摘　　要：针对MIMO雷达的正交多相编码信号，在给出限定条件的情况下，采用一台侦察机从不同的方向、多个角度对MIMO雷达进行侦察并且获得有延时样本信号。然后对有延时的样本信号进行处理获得无延迟的样本信号。由于对侦察设备而言，MIMO雷达的信号是盲信号，因此采用盲信号处理技术对样本信号进行处理。首先采用主分量分析算法（PCA）对信号进行预处理并且估计信源个数，再运用盲源分离中独立分量分析的算法（ICA）对样本信号进行分离。通过仿真验证了该方法的有效性，并分析了侦察模型中张开角度的影响。In this article, MIMO radar generates orthogonal multiply phase coded signal. When existing some conditions, we detect the MIMO radar from different directions and multiple an- gles to obtain the sample signal based on a new detection model. Then the sample signal with time delay is processed to obtain the sample signal without delay. Because the signal of MIMO radar detection equipment is blind, we use the blind signal processing techniques to process the sample signal. Firstly, we use principal component analysis （PCA） to pretreat the signal and estimate the number of sources. Then we use independent component analysis （ICA） of the blind source separation to separate the signal samples. We also analyze the opening angles＇ in- fluences through simulation.

关 键 词：MIMO雷达 新侦察模型 张开角度 主分量分析 独立分量分析 盲源分离 

分 类 号：TN957[电子电信—信号与信息处理]