In this article, we exploit the spiked covariance structure of the clutter plus noise covariance matrix for radar signal processing. Using state-of-the-art techniques high dimensional statistics, we propose a nonlinear shrinkage-based rotation invariant spiked covariance matrix estimator. We state the convergence of the estimated spiked eigenvalues. We use a dataset generated from the high-fidelity, site-specific physics-based radar simulation software RFView to compare the proposed algorithm against the existing rank constrained maximum likelihood (RCML)-expected likelihood (EL) covariance estimation algorithm. We demonstrate that the computation time for the estimation by the proposed algorithm is less than the RCML-EL algorithm with identical Signal to Clutter plus Noise (SCNR) performance. We show that the proposed algorithm and the RCML-EL-based algorithm share the same optimization problem in high dimensions. We use Low-Rank Adaptive Normalized Matched Filter (LR-ANMF) detector to compute the detection probabilities for different false alarm probabilities over a range of target signal-to-noise ratios (SNR). We present preliminary results which demonstrate the robustness of the detector against contaminating clutter discretes using the challenge dataset from RFView. Finally, we empirically show that the minimum variance distortionless beamformer error variance for the proposed algorithm is identical to the error variance resulting from the true covariance matrix.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Radar Clutter Covariance Estimation: A Nonlinear Spectral Shrinkage Approach


    Beteiligte:


    Erscheinungsdatum :

    2023-12-01


    Format / Umfang :

    2920400 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Joint DOA and Clutter Covariance Matrix Estimation in Compressive Sensing MIMO Radar

    Salari, Soheil / Chan, Francois / Chan, Yiu-Tong et al. | IEEE | 2019


    Spectral properties of radar sea clutter

    Baker, C.J. | Tema Archiv | 1989



    Clutter Covariance Smoothing by Subaperture Averaging

    Fante, R.L. | Online Contents | 1994


    Clutter covariance smoothing by subaperture averaging

    Fante, R.L. / Barile, E.C. / Guella, T.P. | IEEE | 1994