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基于两点式数据关联算法的多机动目标跟踪
引用本文:李辉,张安,赵敏,庞勤,沈莹.基于两点式数据关联算法的多机动目标跟踪[J].电子学报,2005,33(12):2125-2129.
作者姓名:李辉  张安  赵敏  庞勤  沈莹
作者单位:西北工业大学电子信息学院,陕西西安 710072
基金项目:广东省博士启动基金,西北工业大学校科研和教改项目
摘    要:本文首先分析了两点式概率数据关联算法,在此基础上将其与交互式多模型算法结合起来提出了一种用于跟踪多机动目标的新算法.由于充分利用了两点式数据关联算法在关联精度和计算量上的优越性,所提出的新算法无论在跟踪精度方面,还是计算量上都有很大的改善.理论分析与仿真结果验证了该算法优于传统的交互式多模型联合数据关联算法.

关 键 词:多机动目标跟踪  两点式数据关联  交互式多模型两点数据关联  
文章编号:0372-2112(2005)12-2125-05
收稿时间:2005-07-06
修稿时间:2005-07-062005-09-28

Multiple Maneuvering Target Tracking Based on Two-Scan Data Association
LI Hui,ZHANG An,ZHAO Min,PANG Qin,SHEN Ying.Multiple Maneuvering Target Tracking Based on Two-Scan Data Association[J].Acta Electronica Sinica,2005,33(12):2125-2129.
Authors:LI Hui  ZHANG An  ZHAO Min  PANG Qin  SHEN Ying
Affiliation:Department of Electronic Engineering,Northwestern Polytechnical University,Xi'an,Shaanxi 710072,China
Abstract:An efficient two-scan data association method based on an interior point linear programming approach is analyzed.Based on this method,a new algorithm that is combined with the interacting multiple model is presented to track multiple maneuvering target.With the improved accuracy and reduced computation burden of twoscan data association,the accuracy and speed of the new algorithm presented here are improved greatly.The numerical analysis and computer simulation demonstrate the new algorithm is far more efficient than the existing IMMJPDAF algorithm.
Keywords:multiple maneuvering target tracking  two-scan data association  interacting multiple model two-scan data association  
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