FOCMLAD approach: angle estimation for MMW-FMCW radar under unknown correlated clutter noise

In this manuscript, an angle estimation algorithm based on FOC-based MUSIC and LAD (FOCMLAD) is presented for millimeter wave (MMW) FMCW radar under spatially and temporally correlative clutter noise. The FOC-based MUSIC method is used to resolve and reconstruct the intermediate frequency (IF) signal. Then, it regards every sensor's signal expression as an independent regression form and uses LAD to achieve the angle. This algorithm effectively suppresses the correlative clutter-noise. The FOCMLAD algorithm mitigates the adverse effects of temporal correlation in correlative clutter-noise by incorporating the FOC-based MUSIC method and employing LAD to counteract its non-Gaussian nature. The FOCMLAD algorithm effectively suppresses the correlative clutter-noise's spatial correlation, as the clutter-noise distribution remains consistent across sensors regardless of spatial correlation. This effectiveness is validated through experimental results.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-04-01
DOI
https://doi.org/10.16157/j.issn.0258-7998.245873
Primary Topic
Direction-of-Arrival Estimation Techniques
Type
article
Field-Weighted Citation Impact
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article

FOCMLAD approach: angle estimation for MMW-FMCW radar under unknown correlated clutter noise

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Direction-of-Arrival Estimation Techniques
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FOCMLAD approach: angle estimation for MMW-FMCW radar under unknown correlated clutter noise

article en

Abstract

In this manuscript, an angle estimation algorithm based on FOC-based MUSIC and LAD (FOCMLAD) is presented for millimeter wave (MMW) FMCW radar under spatially and temporally correlative clutter noise. The FOC-based MUSIC method is used to resolve and reconstruct the intermediate frequency (IF) signal. Then, it regards every sensor's signal expression as an independent regression form and uses LAD to achieve the angle. This algorithm effectively suppresses the correlative clutter-noise. The FOCMLAD algorithm mitigates the adverse effects of temporal correlation in correlative clutter-noise by incorporating the FOC-based MUSIC method and employing LAD to counteract its non-Gaussian nature. The FOCMLAD algorithm effectively suppresses the correlative clutter-noise's spatial correlation, as the clutter-noise distribution remains consistent across sensors regardless of spatial correlation. This effectiveness is validated through experimental results.

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FOCMLAD approach: angle estimation for MMW-FMCW radar under unknown correlated clutter noise · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS