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基于空间分集的MIMO雷达目标跟踪算法研究
引用本文:王 丽,冯 讯. 基于空间分集的MIMO雷达目标跟踪算法研究[J]. 现代雷达, 2012, 34(5): 26-30
作者姓名:王 丽  冯 讯
作者单位:1. 总参第六十一研究所,北京,100141
2. 空军雷达学院重点实验室,武汉,430019
摘    要:针对基于空间分集的多输入多输出(MIMO)雷达多发多收的特殊结构,建立了基于逆协方差形式扩展卡尔曼滤波算法的MIMO雷达目标跟踪滤波模型,分析了影响算法滤波精度的4个因素,分别为信噪比、信号带宽、天线数以及天线与目标间的位置关系。通过使目标位置状态估计均方误差最小,在特定天线数条件下利用数值方法得到了使滤波精度达到最优的天线放置形式。仿真实验给出了不同信噪比、信号带宽、天线数以及天线与目标间不同位置关系时的MIMO雷达跟踪性能。

关 键 词:MIMO雷达  目标跟踪  逆协方差形式扩展卡尔曼滤波

A Study on Tracking Algorithm of MIMO RadarBased on Spatial Diversity
WANG Li and FENG Xun. A Study on Tracking Algorithm of MIMO RadarBased on Spatial Diversity[J]. Modern Radar, 2012, 34(5): 26-30
Authors:WANG Li and FENG Xun
Affiliation:1.61st Research Institute of the General Staff,Beijing 100141,China)(2.Key Research Laboratory,Air Force Radar Academy,Wuhan 430019,China)
Abstract:Aiming at the special configuration of multiple-input multiple-output(MIMO) radar.The tracking model of MIMO radar was constructed based on the inverse covariance form of the extended Kalman filter.Four factors influence on filtering accuracy,they are signal-to-noise ratio,effective bandwidth,number of antennas and the location relationship between target and antennas.To minimize the mean-squared error of target state estimator,an optimum station arrangement strategy was proposed.Experimental results showed the tracking performance of MIMO radar on different signal-to-noise ratio,effective bandwidth,the number of antennas and the location relationship between target and antennas.
Keywords:MIMO radar  target tracking  inverse covariance form of the extended Kalman filter
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