A new method of maximum entropy spectral estimation called the revised maximum entropy method (MEM) is formulated and is applied to the spectral analysis of the echo signals from atmospheric turbulence observed by an incoherent scatter radar. The revised MEM is shown free from many demerits of the other methods for spectral analysis. Further it makes it possible to subtract the white noise usually contained in the data during the processing. Some examples of spectral estimation are shown for the actual radar signals and the simulated data. Another application of the revised MEM is the subtraction of the clutter component which is difficult to do by linear filtering. The method is successfully applied to several data abounding with the clutter to obtain the spectra of the echo signals with less clutter distortion.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Spectral Analysis and Subtraction of Noise in Radar Signals


    Contributors:
    Ogura, H. (author) / Yoshida, Y. (author)


    Publication date :

    1981-01-01


    Size :

    2694456 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    FPGA implementation of spectral subtraction for automotive speech recognition

    Whittington, Jim / Deo, Kapeel / Kleinschmidt, Tristan et al. | IEEE | 2009


    Phase Noise Measurements in Chirped FMCW Radar Signals

    Samarasekera, A.Chaminda J. / Feger, Reinhard / Bechter, Jonathan et al. | IEEE | 2020


    SYSTEMS AND METHODS FOR NOISE COMPENSATION OF RADAR SIGNALS

    COCAUD CEDRIC / STOSCHEK ARNE / SANKARAMBADI NAVNEET et al. | European Patent Office | 2022

    Free access


    SYSTEMS AND METHODS FOR NOISE COMPENSATION OF RADAR SIGNALS

    COCAUD CEDRIC / STOSCHEK ARNE / SANKARAMBADI NAVNEET et al. | European Patent Office | 2021

    Free access