The Optimization of the Observation Geometry Using the Passive Measurements

Qian Zhang, Li Lin, Yan Zhao
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Abstract

The optimization of the observation geometry is very important for multi-sensor target tracking. This paper performs analysis of the Fisher information matrix obtained using the passive measurements, and analyzes the influences to the tracking performance by the observation geometry factors like the distance and the angle, therefore obtains the optimal criteria for the sensor selection in target tracking.
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利用被动测量优化观测几何
在多传感器目标跟踪中,观测几何结构的优化是非常重要的。本文对被动测量得到的Fisher信息矩阵进行了分析,分析了距离、角度等观测几何因素对目标跟踪性能的影响,从而得出了目标跟踪中传感器选择的最优准则。
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