调频连续波（FMCW）雷达具有近距离高精度测量、无距离盲区等优点，因此常被用来探测近距离慢速目标。针对FMCW雷达探测地面道路慢速目标场景，提出一种新的自适应滤波器。该滤波器可用于抑制环境中的强杂波影响，提升目标检测性能。仿真结果表明，在强杂波环境背景下，经滤波器处理后信号的峰值降低91.1%，信号平均幅度降低82.7%，与常用的MTI脉冲对消滤波器的性能相比，可以更好地抑制强杂波的影响，更利于动目标的提取。同时，真实测量数据进一步验证了该滤波器的有效性和目标检测结果的准确性。检测结果显示相对距离误差和相对速度误差均在10-3量级，具有良好的检测精度。
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.
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