计算机应用研究2011，Vol.28Issue(12)：4537-4540,4.DOI:10.3969/j.issn.1001-3695.2011.12.037
一种基于K-means算法的长码直扩信号伪码序列盲恢复方法
Blind recovery method of PN sequence in long code DSSS signals based on K-means clustering algorithm
摘要
Abstract
For the problem of blind restoration of the pseudo-noise (PN) sequence in long code direct sequence spread spec-trum ( DSSS) signals, learning from the idea of unsupervised clustering analysis, this paper proposed a blind recovery method of the PN sequence based on K-means clustering algorithm. In this method, the blind synchronization of the PN sequence was completed by the smallest average dissimilarity,then used K-means clustering algorithm to estimate the PN sequence. Finally, employed runs test algorithm to filter and restore the original PN sequence. Theoretical analysis and computer simulations show that the method can accurately recover the PN sequence of long code DSSS signal in low SNR, showing a good performance.关键词
长码直扩信号/伪码序列/K均值聚类/游程检验/盲恢复Key words
long code direct sequence spread spectrum (DSSS) / pseudo-noise (PN) sequence/ K-means clustering/ runs test/ blind restoration/分类
信息技术与安全科学引用本文复制引用
白娟,张天骐,余熙,高春霞..一种基于K-means算法的长码直扩信号伪码序列盲恢复方法[J].计算机应用研究,2011,28(12):4537-4540,4.基金项目
国家自然科学基金资助项目(61071196) （61071196）
教育部新世纪优秀人才支持计划资助项目(NCET-10-0927) （NCET-10-0927）
信号与信息处理重庆市市级重点实验室建设项目(CSTC,2009CA2003) （CSTC,2009CA2003）
重庆市自然科学基金资助项目(2009BB2287,2010BB2398.2010BB2411) （2009BB2287,2010BB2398.2010BB2411）
