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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    Title :

    Parameter Estimation of Multicomponent Chirp Signals via Sparse Representation


    Contributors:
    Jinku Guo, (author) / Hongxing Zou, (author) / Xiaojun Yang, (author) / Guangbin Liu, (author)


    Publication date :

    2011-07-01


    Size :

    1078779 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English