Human body static target high-precision detection method and device based on radar life detector

By optimizing the signal processing and ADMM-RPCA algorithm of the radar life detector, the problem of detecting static human targets under strong clutter and low signal-to-noise ratio conditions has been solved, achieving high-precision and rapid separation and detection of vital signs signals.

CN122307503APending Publication Date: 2026-06-30CENT SOUTH UNIV
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Patent Information

Application Number
CN202610787217.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-06-03
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing technologies struggle to achieve high-precision and rapid detection of stationary human targets under conditions of strong clutter and low signal-to-noise ratio. Traditional RPCA algorithms cannot adapt to the narrow-band, weak, and non-stationary characteristics of radar vital signs signals, resulting in insufficient signal extraction accuracy and a high number of iterations, thus reducing detection efficiency.

Method used

A high-precision human static target detection method based on radar life detector is adopted. The frequency axis is transformed into the range axis through inverse Fourier transform. The iterative update formula and parameters of ADMM-RPCA algorithm are optimized, including sparse penalty coefficient, penalty parameter and convergence threshold, to quickly separate low-rank matrix and sparse matrix and realize the separation of background and vital signs signals.

Benefits of technology

It improves the detection accuracy and efficiency of stationary human targets, and achieves high-precision and rapid extraction of vital signs signals in environments with strong clutter and low signal-to-noise ratio, reducing the number of iterations and improving the real-time performance of the detector.

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Abstract

The invention provides a human body static target high-precision detection method and device based on a radar life detector, and the method comprises the steps: carrying out the inverse Fourier transform of radar fast time, converting a frequency axis into a distance axis, carrying out the iterative circulation updating of a low-rank matrix and a sparse matrix, updating dual variables, modifying penalty parameters, and carrying out the convergence, and obtaining a separation result of a target and a background, the background information is stored in the low-rank matrix, and the signal containing the vital sign information is stored in the sparse matrix, so that the high-precision detection of the human body static target is realized.
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