The Optimization of the Observation Geometry Using the Passive Measurements

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.