<p>This manuscript proposes the Fourth-Order Cumulant (FOC) Real-valued off-grid Joint huber-estimation (FROH) algorithm for angle estimation of frequency-modulated continuous-wave (FMCW) radar under spatially and temporally correlative clutter and noise. The FOC real-valued off-grid method is used to resolve and reconstruct the intermediate frequency signal. Then, regarding every sensor’s signal expression as an independent multiple regression form and achieve the angle by Huber-estimation and averaging regression coefficients of the reconstructed intermediate frequency signals from every sensor. FROH algorithm effectively suppresses the correlative clutter and noise and keeps the low computational complexity, where FROH algorithm inhibits the correlative clutter and noise’s temporal correlation via introducing FOC Real-valued off-grid frequency estimation and huber-estimation. The above effectiveness of FROH algorithm is validated by the experiments.</p>

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FROH: angle estimation of FMCW signal in correlative clutter and noise

  • Yuqian Mao

摘要

This manuscript proposes the Fourth-Order Cumulant (FOC) Real-valued off-grid Joint huber-estimation (FROH) algorithm for angle estimation of frequency-modulated continuous-wave (FMCW) radar under spatially and temporally correlative clutter and noise. The FOC real-valued off-grid method is used to resolve and reconstruct the intermediate frequency signal. Then, regarding every sensor’s signal expression as an independent multiple regression form and achieve the angle by Huber-estimation and averaging regression coefficients of the reconstructed intermediate frequency signals from every sensor. FROH algorithm effectively suppresses the correlative clutter and noise and keeps the low computational complexity, where FROH algorithm inhibits the correlative clutter and noise’s temporal correlation via introducing FOC Real-valued off-grid frequency estimation and huber-estimation. The above effectiveness of FROH algorithm is validated by the experiments.