基于功率谱AMSF的微动特征提取算法  

Extraction Algorithm of Micro-motion Characteristics Based on Power Spectrum AMSF

作　　者：杨予昊[1] 李士国[1] 

机构地区：[1]中国电子科技集团公司第14研究所,南京210039

出　　处：《空军预警学院学报》2013年第3期190-194,共5页Journal of Air Force Early Warning Academy

摘　　要：以旋转周期估计为核心的微动特征提取技术是对空间自旋目标、空间碎片和弹头等目标进行成像和识别的基础,转速估计的精度直接影响成像和识别的结果.从旋转目标的窄带雷达散射机理出发,建立了旋转散射点的基频回波模型.针对旋转运动导致窄带回波是多分量SFM信号的特征,对多分量SFM信号的频谱进行了分析,根据其周期特征,提出了基于信号功率谱AMSF的微动特征提取算法.通过仿真验证了该算法在较低的信噪比下有较高的精度和稳定性.该方法有较强的应用前景.The technique of micro-motion characteristics extraction with the core of estimation of rotation period is a base for imaging and identification of spinning target, chips, warhead and other targets in space, the accuracy of rotating speed estimation would affect directly the results of imaging and identification. Starting from the narrow band radar scattering mechanism of rotating target, this paper brings forward a model for the fimdamental frequency echo of rotation scattering points. In terms of the features that rotating motion results in narrow band echo being SFM signals with multiple components, the spectrum of SFM signals is analyzed, and the extraction algorithm of micro-motion characteristics based on signal power spectrum is proposed, on the basis of its period features. By simulation, it is proved that this proposed algorithm has a higher precision and stability, thus possessing a better application prospect.

关 键 词：旋转目标 转速估计 微动特征提取 平均幅度和函数 

分 类 号：TN958[电子电信—信号与信息处理]