三种引入Doppler量测的数据互联算法性能分析  

Analysis to Three Improved Data Association Algorithms Using Doppler Information

作　　者：尉强[1,2] 刘忠[1] 

机构地区：[1]海军工程大学电子工程学院,武汉430010 [2]空军预警学院陆基预警装备系,武汉430019

出　　处：《现代雷达》2017年第4期63-68,共6页Modern Radar

基　　金：国家自然科学基金资助项目(61102168)

摘　　要：针对多频连续波雷达系统中多目标跟踪问题,提出了三种引入目标径向速度量测的贝叶斯类多目标数据互联改进算法。为了清楚地对比三种改进算法与传统算法以及改进算法之间在跟踪精度、实时性等跟踪性能上的差异,对上述算法在相同环境下进行了详细的性能分析。首先,简述了各算法的互联方法;然后,建立了跟踪模型;最后,选取典型的多目标运动情况对这些算法进行了仿真实验,并根据仿真结果综合分析了它们各方面的跟踪性能。To solve the multi-target tracking problems of multiple frequency continuous wave radar system, several improved Bayes algorithms by using target radial velocity information are proposed in this paper. In order to figure out the difference among the tracking performance, such as tracking precise and real-time of these improved and conditional algorithms, the detailed analysis of these algorithms are presented in the same conditions. Firstly the association method of each algorithm is described briefly. Then, the tracking model is established. Finally, the simulations obtained from a typical way of multi-target tracking are used, and the tracking performance of these algorithms is analyzed according to the results.

关 键 词：多目标跟踪 联合概率数据互联 联合的综合概率数据互联 综合的联合概率数据互联 径向速度 

分 类 号：TN953[电子电信—信号与信息处理]