基于一维选择线谱的脉冲星辐射脉冲信号辨识  

PULSAR SIGNAL RECOGNITION BASED ON ONE-DIMENSION SELECTED LINE SPECTRA

作　　者：谢振华[1] 许录平[1] 倪广仁[2] 王岩[1] 

机构地区：[1]西安电子科技大学电子工程学院,203教研室陕西西安710071 [2]中国科学院国家授时中心,陕西西安710600

出　　处：《红外与毫米波学报》2007年第3期187-190,195,共5页Journal of Infrared and Millimeter Waves

基　　金：国家自然科学基金资助项目(60472085);陕西省自然科学基金资助项目(2006F04);国防预研基金资助项目

摘　　要：为提高脉冲星辐射脉冲信号辨识效果,利用双谱技术提取了脉冲星累积脉冲轮廓的非线性和非高斯特征.提出了一维选择线谱辨识算法,该算法采用特征核与特征域描述统计信号的共性及个性,定义信号特征矢量方差及特征矢量间的距离,抽取双谱图中具有最强类别可分离度的一维线谱特征向量构成特征模板.实验结果表明:一维选择线谱特征向量适于脉冲星信号辨识,且与选择双谱相比,一维选择线谱算法使整个特征向量具有最大类间可分离度,可以获得更好的辨识效果.For recognizing the signals of pulsars and improving the effect of recognition, non-linear and non-gaussian characteristics of the average pulse profiles of pulsar signals were analyzed by using bispectra technology. Then one-dimension selected line spectra algorithm for extracting pulsar signals＇ characteristics was proposed. The algorithm makes use of feature core and domain to represent the generality of bispectrum and its distribution domain. And the variance of signal feature vector and the distance between two kinds of signal feature vectors were defined, based on which one-dimension line spectral vector with best interelass separability was redefined. The results of recognition experiments show that the algorithm of one-dimension selected line spectra is suitable for extracting pulsar signals＇ characteristics. Compared with the selected bispectra, the selected line spectrum has the maximum interclass separability.

关 键 词：信息处理技术 信号辨识 一维选择线谱 脉冲星 双谱分析 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]