The application of the superresolution multiple signal classification (MUSIC) algorithm is extended to overcome the Doppler frequency estimation limitations due to the Fourier transform- (FT-) based techniques for ultrawideband (UWB) random noise radar signals. Simulated and experimental results are compared for single and multiple moving targets within a range bin, for narrowband (200 MHz) and UWB (1 GHz) noise radar signals. The simulated percentage error in Doppler estimation is parameterized as a function of the velocity ratio of two targets in a given range bin.


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    Title :

    Superresolution Doppler Estimation using UWB Random Noise Signals and MUSIC


    Contributors:
    Dawood, M. (author) / Quraishi, N. (author) / Alejos, A. V. (author)


    Publication date :

    2013-01-01


    Size :

    9970661 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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