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。
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.
出处
《信息化研究》
2012年第3期38-41,共4页
INFORMATIZATION RESEARCH
基金
浙江省教育厅科研项目(Y201119314)
关键词
信号处理
稀疏分解
特征提取
signal processing
sparse decomposition
feature extraction
