基于隐马尔可夫模型的MIMO雷达目标检测

MIMO雷达是一种新体制雷达，相对于传统雷达在目标检测及参数估计性能都有很大提高。本文针对MIMO雷达的发射信号特点及天线阵元布置特点，分析了雷达目标和杂波的散射特点。目标回波的各向异性比杂波更强。因此可以用隐马尔可夫模型（HMM）对目标和杂波分别建模，实现目标和杂波的分离。在检测过程中，首先用样本模型对HMM进行训练，得出它的参数。然后用训练好的HMMs分别对待检测信号进行归类，分别计算它属于杂波和目标的概率，计算概率比值，大于门限判断有目标。仿真实验表明，本文方法的检测性能优于传统的检测方法。本方法在检测时候的计算量很小，有利于信号的实时处理。

New Detection Method for MIMO Radar Based on Hidden Markov Model

MIMO radar is a new radar technique developed recently.It can achieve better detection performance than conventional phased radar.In this paper,we propose a new detection algorithm for MIMO radar,which uses hidden Markov model(HMM) to model the clutter and target signals of different receivers.The scattering characteristics of clutter and man-made target are analyzed.It can be seen that the target exhibits more pronounced anisotropic scattering than clutter.So,different HMMs can be exploited to represent ta...