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A Tracking Fusion Algorithm for Angle Only Measurements from Multi-sensors
仅有角度测量信息的多传感器融合跟踪算法

Keywords: Multi-sensor,Extended Kalman Filter(EKF),PDAF,Data fusion
多传感器
,扩展的Kalman滤波,概率数据关联滤波,数据融合

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Abstract:

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.

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