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仅有角度测量信息的多传感器融合跟踪算法 被引量:5

A Tracking Fusion Algorithm for Angle Only Measurements from Multi-sensors
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摘要 仅有角度量测值的多传感器系统对目标的跟踪方法有其困难之处,但它具有较广泛的应用背景.该文以不同载体上的两部传感器为例较系统地分析了这种情况下的关联跟踪和融合滤波方法.对于无干扰信号的情况,提出了传感器的可用性矩阵,并给出了确定该矩阵的方法,建立了相应的融合估计方程;对于密集干扰信号的情况给出了融合跟踪门的建立方法和概率数据关联滤波(PDAF)算法,并对相应算法进行了仿真验证. Target tracking with angle only measurements is quite difficult, but there is a strong application potential. Based on the example of two passive sensors respectively on two moving platforms, this paper systematically analyzes the fusion method in such a circumstance. For sensors without spurious responses, the sensor availability matrix is put forward and the fusion estimate equation is established. For the circumstance of dense spurious responses, the idea of tracking fusion gate for application of PDAF filter are proposed for single target tracking. Simulation result verified the novel method.
出处 《电子与信息学报》 EI CSCD 北大核心 2004年第8期1196-1202,共7页 Journal of Electronics & Information Technology
基金 河南省自然科学基金资助课题(批准号:0211050500)
关键词 多传感器 扩展的Kalman滤波 概率数据关联滤波 数据融合 Multi-sensor, Extended Kalman Filter(EKF), PDAF, Data fusion
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参考文献4

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  • 2[2]Ristic,Arulampalam,Musso.The influence of communication bandwidth on target tracking with angle only measurements from two platforms[J].Signal Processing,2001,81(9):1801-1811.
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  • 4王宏飞,杨成梧.双被动雷达交会跟踪的精度分析与跟踪算法[J].电子学报,2003,31(3):471-474. 被引量:9

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