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一种基于稀疏分解的微多普勒频率估计算法
引用本文:金斌,贾舒宜.一种基于稀疏分解的微多普勒频率估计算法[J].海军航空工程学院学报,2014,29(2):122-126.
作者姓名:金斌  贾舒宜
作者单位:[1]海军装备部兵器部,北京100073 [2]海军航空工程学院电子信息工程系,山东烟台264001
基金项目:国家自然科学资金资助项目(61102165;61102167)
摘    要:目标微动特性和微多普勒特征分析在真假目标识别方面发挥了重要作用。由于微动目标雷达同波具有非线性、多分量性等特征,需要相应的具有高分辨力、低交叉项、大的动态范围的分析工具,才能较好地揭示目标微多普勒特征。稀疏分解方法中的匹配追踪(MP)具有频域高分辨能力,对于信号细微特征提取具有很好的效果。研究了基于匹配追踪的微多普勒频率估计问题,该方法可以准确提取出目标微多普勒频率,为后续的目标识别提供了重要的依据。-

关 键 词:微多普勒  稀疏分解  微动目标  匹配追踪

A Method of Micro Doppler Frequency Estimation Based on Sparse Decomposition
JIN Bin and JIA Shu-yi.A Method of Micro Doppler Frequency Estimation Based on Sparse Decomposition[J].Journal of Naval Aeronautical Engineering Institute,2014,29(2):122-126.
Authors:JIN Bin and JIA Shu-yi
Institution:1. Armament Branch of NED, Beijing 100073, China; 2. Department of Electronic and Information Engineering, NAAU, Yantai Shandong 264001, China)
Abstract:Analysis of the target method and micro Doppler features plays an important role in the target recognition. Due to the characteristics of nonlinear, multicomponent of micro target radar echo, the analysis tools of dynamic range high resolution and low cross terms are needed, which can receal the micro Doppler features of target. In this paper, the micro Doppler frequency estimation based on matching pursuit (MP) for its high frequency solution and good effect of subtle features extraction was studied. This method can accurately extract micro Doppler frequency and provide an important basis for the subsequent target identification.
Keywords:micro Doppler  sparse decomposition  micro target  matching pursuit
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