三维数据关联情况下外辐射源雷达多目标跟踪研究  

Multistatic Passive Radar Multi-target Tracking Under Target-measurement-illuminator Data Association Uncertainty

作　　者：李晓花 李亚安[3] 金海燕[1,2] 鲁晓锋 LI Xiaohua;LI Ya’an;JIN Haiyan;LU Xiaofeng(School of Computer and Engineering,Xi’an University of Technology,Xi’an 710048,China;Shaanxi Key Laboratory for Network Computing and Security Technology,Xi’an 710048,China;School of Marine Science and Technology,Northwestern Polytechnical University,Xi’an,710072,China)

机构地区：[1]西安理工大学计算机科学与工程学院,西安710048 [2]陕西省网络计算与安全技术重点实验室,西安710048 [3]西北工业大学航海学院,西安710072

出　　处：《电子与信息学报》2021年第10期2840-2847,共8页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(61703333,U1934222);陕西省自然科学基础研究计划(2019JQ-746,18JK0557);陕西省重点实验室项目(20JS088);西安市碑林区科技计划项目(GX2017)。

摘　　要：不同于传统多目标跟踪,除了量测-目标数据关联模糊问题外,外辐射源雷达跟踪系统新增了量测-发射机数据关联模糊问题。针对此问题,该文通过引入一个新的关联变量来表示量测和发射机之间的数据关联关系,提出了目标-量测-发射机3维数据关联改进概率多假设跟踪(PMHT)算法。该算法利用期望极大化(EM)算法的独立性假设条件得到最大后验概率意义下的最优跟踪。为了增加目标-量测-发射机之间数据关联的准确性,提高多目标与量测后验关联概率的精确度,将量测信息设定为均值相同协方差不同的混合高斯分布。针对距离-多普勒量测的非线性性,利用无味卡尔曼平滑(UKS)算法进行多目标状态估计。仿真结果表明,对于FKIE外辐射源雷达数据集(杂波密度很高),所提算法的目标与航迹关联成功率高,抗杂波性能强,证明了算法的有效性。Different from the traditional multi-target tracking problem which has the measurements to targets data association uncertainty problem,the multistatic passive radar multi-target tacking system has the additional measurements to illuminators data association uncertainty problem,which means the data association relationship is three dimensional.A novel target-measurement-illuminator Probabilistic Multiple Hypothesis Tracking(PMHT)algorithm is proposed,which introduces a new data association variable to represent the data association relationship.The proposed algorithm is based on the Expectation-Maximization(EM).To handle the nonlinear problem of range-Doppler measurements,the Unscented Kalman Smoother(UKS)is used to get the multi-targets’estimated states.To increase the data association accuracy,the measurements are set to mixture Gaussian distribution.Simulation results show that for the FKIE passive radar data set,the proposed algorithm can track multi-targets effectively in dense clutter environment.

关 键 词：外辐射源雷达 多目标跟踪 概率多假设跟踪 无味卡尔曼平滑算法 数据关联 

分 类 号：TN957[电子电信—信号与信息处理]