摘要
通过对微运动引起的微多普勒进行提取,可以获取目标的微动力学特性,为目标识别提供更多可靠的特征量。本文从信号模型出发,分析了振动、旋转、锥旋三种基本微运动模型回波,将其统一为三参数正弦调频信号。针对这一形式的信号,本文提出了基于TFD(Time Frequency Distribution)-Hough变换的参数化微运动回波信号处理框架,从数学上推导了微多普勒的时频分布特性,提出了相应的时频图曲线Hough变换检测方法。仿真实验和外场实测处理的处理证明了本方法的有效性和鲁棒性。
Through exacting the micro-doppler caused by the micro-motion, we can get the micro-dynamic character and provide more reliable characters to target recognition. By analyzing the echo models caused by three micro-motion-vibration, rotation and coning, micro-doppler was unioned to three-parameter sinusoidal FM signal. Due to this signal, a parametric estimation framework based on TFD- Hough is proposed. The time-frequency distribution of muhicomponent sinusoidal FM signal is deduced, a Hough transform method to detect three-parameter sinusoidal curve is proposed. The simulation and the real data result show the method is effective and robust.
出处
《信号处理》
CSCD
北大核心
2009年第11期1759-1765,共7页
Journal of Signal Processing
基金
国家自然科学基金重点项目(60736006)
国家自然科学基金面上项目(60672033)
