A novel algorithm for parameter estimation of multicomponent chirp signals in complicated noise environment is proposed. By the matching pursuit (MP) algorithm, the signal is decomposed into Gabor atoms which provide sparse information that represents the signal time-frequency signature. The Hough transform (HT) is then directly used to estimate the parameter of chirp components without computing the time-frequency distribution. Simulation results show that this algorithm is capable of estimating parameters of multicomponent chirp signals even in the presence of strong intended interference and colored noise.


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    Titel :

    Parameter Estimation of Multicomponent Chirp Signals via Sparse Representation


    Beteiligte:
    Jinku Guo, (Autor:in) / Hongxing Zou, (Autor:in) / Xiaojun Yang, (Autor:in) / Guangbin Liu, (Autor:in)


    Erscheinungsdatum :

    01.07.2011


    Format / Umfang :

    1078779 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch