A heuristic track-to-track association algorithm for sensors with azimuth biases and range biases is proposed based on a reference pattern (REP) of the target. For a given target, the structure revealed by its neighboring targets is named as its REP. To compensate for the relative azimuth bias between sensors, we modify the optimal subpattern assignment metric, which makes the derived association cost matrix insensitive to sensor biases. Simulation results demonstrate the superior performance of the proposed algorithm.


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    Title :

    Reference pattern-based track-to-track association with biased data


    Contributors:
    Tian, Wei (author)


    Publication date :

    2016-02-01


    Size :

    935867 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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