This paper discusses the performance of a sensor selection scheme based on four expected performance criteria in a target tracking scenario, namely best expected heading, range, Doppler and bearing accuracy. The sensor selection algorithm is based on the Modified Riccati Equation, which is capable of handling sensors with probability of detection pd less-than, equal or similar 1. The Particle Filtering technique have been used for target tracking with an adaptation for missed detections in the case of pd less-than, equal or similar 1. Results are compared using multiple runs with simulated data for a single, moving target and a stationary two radar configuration. One sensor yields range, Doppler and bearing information, the other range and bearing information. Three cases of pd's are considered. The analysis includes the quality of the state estimate and the sensor selection strategy. The sensor selection strategy is evaluated for a multiple time step planning horizon.


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    Title :

    Target tracking in sensor networks: criteria for sensor selection


    Contributors:

    Published in:

    Publication date :

    2007


    Size :

    5 Seiten, 9 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





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