A new adaptive filter for slow-moving target detection based on FMCW radar

doi:10.7523/j.issn.2095-6134.2021.03.012

Abstract

Abstract: Frequency-modulated continuous wave (FMCW) radar is commonly used to detect the slow-moving target in close range, due to its capability of high-precision measurement and non-blind zone in close range. In this paper, a new adaptive clutter suppression filter is proposed for FMCW radar to detect ground slow-moving target scene. The proposed filter can be used to suppress the impact of strong clutter in the environment and to improve the detection performance. Results show that under the effects of the background of strong clutter, the peak value of signal after clutter suppression is reduced by 91.1%, and the average amplitude of signal is reduced by 82.7%. The proposed filter shows better performance in terms of suppressing clutter and extracting moving target compared to the moving target indication (MTI) pulse cancellation filter. Finally, the proposed filter is validated by using real measurement data. Results illustrate that the relative errors of distance detection and velocity detection are on the order of 10^-3, indicating the proposed filter has good detection accuracy.

Key words: frequency-modulated continuous wave radar, slow-moving target, adaptive filter, detection accuracy

CLC Number:

TN957.51

SONG Zhihua, CHEN Kunshan, ZENG Jiangyuan, XU Zhen. A new adaptive filter for slow-moving target detection based on FMCW radar[J]. Journal of University of Chinese Academy of Sciences, 2021, 38(3): 382-391.

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