现代电子技术2017，Vol.40Issue(9)：10-13,4.DOI:10.16652/j.issn.1004-373x.2017.09.003
一种同频混合信号伪随机序列盲估计方法的研究
Research on a pseudorandom sequence blind estimation method of co-frequency mixed signal
李在林 1王松波2
作者信息
- 1. 新乡学院 物理与电子工程学院,河南 新乡 453000
- 2. 郑州市经济贸易学院 计算机系,河南 郑州 450053
- 折叠
摘要
Abstract
The independent component analysis(ICA)method is usually used to collect the co-frequency mixed signal,but it has the problem of blind separation randomness,and it can't separate the pseudorandom sequence of the co-frequency mixed signal,nor can it detect the signal accurately. In order to solve the above problems,a co-frequency mixed signal's pseudoran-dom sequence blind estimation method based on ICA method and Massye algorithm is proposed. The co-frequency mixed signal is acquired,and performed with the whitening pretreatment by means of PCA method. The eigenvalue of the covariance matrix of the co-frequency mixed signal is decomposed to ensure the mutual independence among the signals,and provide the basis for data segmentation with the follow-up ICA method. The fixed-point ICA algorithm based on kurtosis is used to divide the co-fre-quency mixed data after whitening treatment. The ICA algorithm and Massye algorithm are fused to perform the blind estimation to the pseudorandom sequence of the co-frequency mixed signal. The experimental results show that the proposed method can ob-tain the accurate pseudorandom sequence of the co-frequency mixed signal,and has strong signal separation performance.关键词
同频混合信号/伪随机序列/盲估计/Massye算法Key words
co-frequency mixed signal/pseudorandom sequence/blind estimation/Massye algorithm分类
信息技术与安全科学引用本文复制引用
李在林,王松波..一种同频混合信号伪随机序列盲估计方法的研究[J].现代电子技术,2017,40(9):10-13,4.
