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基于信号稀疏分解的毫米波主动探测
引用本文:雷伟敏.基于信号稀疏分解的毫米波主动探测[J].电子工程师,2012(3):38-41.
作者姓名:雷伟敏
作者单位:丽水学院工学院,丽水323000
基金项目:浙江省教育厅科研项目(Y201119314).
摘    要:基于信号稀疏分解的Gabor时频原子库,将毫米波主动探测回波信号进行分解与重构,提取原子的时频参数作为其特征信息,并用改进的混合粒子群算法克服计算量过大难以实现的问题。实验表明,文章所提方法利用少数的原子就可以表示回波信号的主要特征,为目标回波信号的分类和识别提供了依据。

关 键 词:信号处理  稀疏分解  特征提取

Millimeter Wave Radar Signal Processing Based on Sparse Decomposition
Lei Weimin.Millimeter Wave Radar Signal Processing Based on Sparse Decomposition[J].Electronic Engineer,2012(3):38-41.
Authors:Lei Weimin
Affiliation:Lei Weimin (Institute of Technology, Lishui University, Lishui 323000, China)
Abstract:Based on Gabor time-frequency atom library of signal sparse decomposition, through millimeter wave radar echo wave signal decomposition and reconstruction, the feature of time-frequency atom parameters is extracted in the paper. Then improved hybrid particle swarm optimization method is used to reduce the large amount of calculation in matching pursuit. Experimental results show that several atoms can express the main feature of original signal which can be used as basis of target identification.
Keywords:signal processing  sparse decomposition  feature extraction
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