Angle-only tracking of airborne targets is challenging due to the ambiguity caused by the absence of a measure for range. If a colocated radar and angle-only sensor work collaboratively, it is possible to associate measurements and tracks using not only kinematics, but also radio frequency (RF) derived features. Combining kinematic distances and RF features in a probabilistic framework enables the stitching together of disparate measures in a coherent manner. In this article, we quantitatively formulate a probabilistic RF feature-based kinematic association technique which improves performance over kinematic association alone. We demonstrate a significant increase in accuracy using this RF feature-based kinematic association technique in challenging radar tracking scenarios with closely spaced targets.


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    Title :

    Feature-Based Angle-Only Measurement to Radar Track Association


    Contributors:


    Publication date :

    2025-06-01


    Size :

    1084024 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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