摘要
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。
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 target and clutter respectively. And then, we use sample signal to train HMMs and get the parameter of each HMM. The trained HMM is used to detect target. Simulation results show that the performance of MIMO radar is improved and the calculation burden is decreased during target detection.
出处
《电子测量与仪器学报》
CSCD
2008年第4期17-20,共4页
Journal of Electronic Measurement and Instrumentation
