Adaptive algorithms having the capacity to perform real-time optimization in response to a dynamic environment will be necessary for the development of a cognitive radar technology. This paper details an amplifier-in-the-loop algorithm to synthesize radar waveforms which are optimized for desired ambiguity function characteristics in a monostatic radar system, with constraints on the peak-to-average power ratio and spectrum of the waveform. The algorithm uses alternating projections to search for a waveform whose ambiguity function best approximates the goal for a volume-based constraint in desired regions of the range-Doppler plane. Results are shown for both simulation and measurement cases, both with and without the effects of a nonlinear amplifier. This waveform synthesis method is expected to be useful in real-time adaptive radar systems.


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    Titel :

    Amplifier-in-the-Loop Adaptive Radar Waveform Synthesis


    Beteiligte:
    Eustice, Dylan (Autor:in) / Latham, Casey (Autor:in) / Baylis, Charles (Autor:in) / Marks, Robert J. (Autor:in) / Cohen, Lawrence (Autor:in)


    Erscheinungsdatum :

    2017-04-01


    Format / Umfang :

    1619428 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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