稀疏孔径条件下微动目标特征提取与成像算法

Micro-Motion Feature Extraction and Targets Imaging with Sparse Aperture

针对窄带雷达稀疏孔径条件下,目标微多普勒信号无法使用传统方法进行参数化表征和提取的问题,提出一种方位向稀疏孔径条件下微动目标特征提取与成像的新方法。通过详细分析微动目标雷达回波特性,并根据目标回波特征构造微多普勒信号原子集,在此基础上,使用正交匹配追踪算法实现微动目标的特征提取与成像。仿真实验表明该方法能够在稀疏孔径条件下有效提取目标微动特征并实现目标成像。

As traditional micro-Doppler feature representation and extraction methods are unavailable for narrowband radar with sparse aperture,a new micro-motion feature extraction and targets imaging algorithm is proposed.Based on the analysis of the echo signal of the micro-motion targets and making use of the structure of signal,a set of micro-Doppler signal atoms was constructed,and then the micro-motion feature extraction and targets imaging could be achieved based on the orthogonal matching pursuit （OMP） algorithm.Simulations demonstrate that the proposed algorithm can extract the micro-motion feature and obtain the targets imagery in the case of sparse aperture.