雷达学报2022，Vol.11Issue(5)：794-804,11.DOI:10.12000/JR22157
基于STFT谱图滑窗相消的微动杂波去除方法
Micro-Doppler Clutter Removal Method Based on the Cancelation of Sliding STFT Spectrogram
摘要
Abstract
Micro-motion clutter typically exhibits significant Doppler broadening, raises the noise floor, and annihilates weak targets, resulting in false alarms and missed detections. Removing micro-motion clutter effectively is critical to improving radar performance. In this study, a micro-motion clutter removal method based on the cancelation of the Short-Time Fourier Transform (STFT) spectrogram is proposed using the difference in the morphological performance of the constant-speed target echo and micro-motion clutter in the STFT spectrogram. The target echo appears in the STFT spectrogram as a linear energy strip parallel to the time axis on a specific frequency unit, whereas the micro-motion clutter appears as time-varying complex shapes across many frequency units due to its time-varying non-stationary characteristics. When the original STFT spectrogram slides along the time dimension to obtain the new STFT spectrograms, the target echo is distributed in the same position, whereas the position of the micro-motion clutter is different. Therefore, subtracting the above spectrograms, the target echo and the micro-motion clutter can be separated based on the intensity changes in each unit of the STFT spectrogram before and after subtraction, and the micro-motion clutter can be removed. The simulation and field experimental results validate the proposed method’s effectiveness. Compared with the common time-frequency-transform-based L-statistics algorithm, the proposed method can remove micro-motion clutter while retaining the target echo.关键词
微多普勒效应/微动杂波/短时傅里叶变换/短时傅里叶变换谱图Key words
Micro-Doppler effect/ Micromotion clutter/ Short-Time Fourier Transform (STFT)/ STFT spectrogram分类
信息技术与安全科学引用本文复制引用
万显荣,谢德强,易建新,胡仕波,童云..基于STFT谱图滑窗相消的微动杂波去除方法 [J].雷达学报,2022,11(5):794-804,11.基金项目
国家自然科学基金(61931015, 62071335)，湖北省技术创新专项重大项目(2019AAA061)，湖北省自然科学基金创新群体项目(2021CFA002) （61931015, 62071335）
