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Research PaperResearchia:202609.25029

Track-conditioned Residual Frequency Estimation For Low-resolution FMCW Radar

Huy Trinh

Abstract

Low-resolution FMCW radar normally forms a complete range-Doppler representation before detection and tracking. After association, however, the tracker already predicts the target's next range and radial velocity. We propose track-conditioned residual estimation (TCRE), which removes the predicted moving-target phase before spectral formation, summarizes each 64-sample chirp by four coherent complex sums, and estimates the remaining beat-frequency and Doppler-frequency errors from phase progress...

Submitted: September 25, 2026Subjects: Engineering; Chemical Engineering

Description / Details

Low-resolution FMCW radar normally forms a complete range-Doppler representation before detection and tracking. After association, however, the tracker already predicts the target's next range and radial velocity. We propose track-conditioned residual estimation (TCRE), which removes the predicted moving-target phase before spectral formation, summarizes each 64-sample chirp by four coherent complex sums, and estimates the remaining beat-frequency and Doppler-frequency errors from phase progression. We account for the first-order fast-time and slow-time coupling of a moving target and derive the local phase-unwrapping region and three-receiver local information bound. Four summaries retain 93.77 percent of the zero-residual fast-time information while reducing the retained representation by a factor of 16. In 5,000 matched 60-GHz cluttered simulations, TCRE reduces range RMSE by 32.8 to 46.3 percent and velocity RMSE by 58.6 to 71.0 percent relative to a fully specified same-prior residual ZFFT.


Source: arXiv:2609.30176v1 - http://arxiv.org/abs/2609.30176v1 PDF: https://arxiv.org/pdf/2609.30176v1 Original Link: http://arxiv.org/abs/2609.30176v1

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Submission Info
Date:
Sep 25, 2026
Topic:
Chemical Engineering
Area:
Engineering
Comments:
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