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利用Doppler量测的IJPDA多目标跟踪改进算法
引用本文:尹帅,袁俊泉,王利才.利用Doppler量测的IJPDA多目标跟踪改进算法[J].舰船电子对抗,2014,37(6):53-59.
作者姓名:尹帅  袁俊泉  王利才
作者单位:空军预警学院,武汉,430019
基金项目:国家自然科学基金资助项目;项目
摘    要:为了提高多频连续波雷达多目标跟踪精度,在基于传统的综合联合概率数据互联(IJPDA)算法基础上,提出一种带Doppler量测的IJPDA滤波跟踪新算法。首先从理论上分析了传统的IJPDA算法,然后详细阐述了引入径向速度量测后的改进算法,最后通过Monte Carlo仿真验证了该算法的有效性。仿真结果表明,径向速度量测的运用使得改进的IJPDA算法在跟踪性能上有了显著提高。

关 键 词:多频连续波雷达  综合的联合概率数据互联  多目标跟踪

An Improved IJPDA Algorithm For Multi-target Tracking Using Doppler Measurement
YIN Shuai,YUAN Jun-quan,WANG Li-cai.An Improved IJPDA Algorithm For Multi-target Tracking Using Doppler Measurement[J].Shipboard Electronic Countermeasure,2014,37(6):53-59.
Authors:YIN Shuai  YUAN Jun-quan  WANG Li-cai
Affiliation:( Air Force Early Warning Academy, Wuhan 430019, China)
Abstract:To raise the multi-target tracking precision of multiple frequency continuous wave(CW)radar,this paper puts forward a new filtering tracking algorithm of integrated joint probabilistic data association(IJPDA)based on Doppler measurement.Firstly,the traditional IJPDA algorithm is discussed in theory,then an improved algorithm using the radial velocity measurement of target is expatiated;finally,the validation of the algorithm is validated through Monte Carlo simulation,the simulation results show that the application of radial velocity information algorithm effectively improves the tracking performance of improved IJPDA algorithm.
Keywords:multiple frequency continuous wave radar  integrated joint probabilistic data association  multi-target tracking
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