The problem of determining the track of a maneuvering target from passive measurements of the sensor to target line-of-sight is addressed. The standard approach to such an estimation problem, the extended Kalman filter (EKF), suffers from a range and range-rate bias that limits its usefulness. The cause of this bias has been identified as a correlation between the gain and innovations sequences that is inherent in the EKF. These previous results are presented and then a filter design is developed that reduces this unwanted effect. Simulation results reveal a performance improvement using the new filter design.<>


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    Title :

    A federated extended Kalman filter with application to passive target tracking


    Contributors:


    Publication date :

    1993-01-01


    Size :

    468931 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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