In this paper a novel method to deal with possibly erroneous measurements is presented. In target tracking applications it may be the case that measurements that are obtained are incorrect in the sense that they do not comply with the measurement model. Examples in (radar) target tracking are: Glint, Multipath, Ambiguous Doppler, etc. The method that we present here is able to detect these non-normalities and modifies the measurement model in such a way that these non-normalities do not blur the track filter output. The method is based on a multi hypothesis assumption w.r.t. to the correctness of the measurement model. This new method is also shown to outperform classical methods for dealing with possibly erroneous measurements. We demonstrate our method by an extensive example of a surveillance radar tracking system with unreliable (or sometimes false) Doppler measurements.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A multiple model multiple hypothesis filter for systems with possibly erroneous measurements


    Contributors:
    Boers, Y. (author) / Driessen, H. (author)


    Publication date :

    2002-01-01


    Size :

    330367 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Multiple Model Multiple Hypothesis Filter For Systems With Possibly Erroneous Measurements

    Boers, Y. / Driessen, H. / International Society of Information Fusion et al. | British Library Conference Proceedings | 2002




    Multi-Hypothesis Guidance with Interacting Multiple Model Filter

    Schneider, Marc / Fichter, Walter | TIBKAT | 2022


    Multi-Hypothesis Guidance With Interacting Multiple Model Filter

    Schneider, Marc / Fichter, Walter | AIAA | 2022