Multiple-input multiple-output (MIMO) radar enjoys the advantage of increased degrees-of-freedom and spatial diversity gain, but it cannot effectively resolves the targets closely spaced in the same angle cell (but different range cells). Frequency diverse array (FDA)-MIMO radar can handle this problem by exploiting its range-dependent beampattern. FDA-MIMO radar was, thus, suggested for range-angle estimation of targets. Nevertheless, it is necessary to provide theoretical performance analysis for such a relatively new radar technique. Since multiple signal classification (MUSIC) algorithm is widely adopted in most of the FDA-MIMO literature, this paper derives the Cramér-Rao lower bound and mean square error expressions in MUSIC-based range-angle estimation algorithms for a general FDA-MIMO radar. Furthermore, the corresponding range and angle resolution thresholds in target detection and localization are also derived. Numerical results verify that the FDA-MIMO indeed outperforms conventional MIMO radar in both range-angle estimation and resolution threshold performance.


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    Titel :

    FDA-MIMO Radar Range–Angle Estimation: CRLB, MSE, and Resolution Analysis


    Beteiligte:
    Jie Xiong, (Autor:in) / Wen-Qin Wang, (Autor:in) / Kuandong Gao, (Autor:in)


    Erscheinungsdatum :

    2018-02-01


    Format / Umfang :

    814563 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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