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	A modified PCA neural network to blind estimation of the PN sequence in lower SNR DS-SS signals
	Zhang, TQ ; Lin, XK ; Zhou, ZZ ; Mu, AP
	2010-05-10 ; 2010-05-10
会议名称	ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS ; 2nd International Symposium on Neural Networks ; Chongqing, PEOPLES R CHINA ; Web of Science
关键词	Computer Science, Theory & Methods
中文摘要	A modified principal component analysis (PCA) neural network (NN) based on signal eigen-analysis is proposed to blind estimation of the pseudo noise (PN) sequence in lower signal to noise ratios (SNR) direct sequence spread spectrum (DS-SS) signals. The received signal is firstly sampled and divided into non-overlapping signal vectors according to a temporal window, which duration is two periods of PN sequence. Then an autocorrelation matrix is computed and accumulated by these signal vectors. The PN sequence can be estimated by the principal eigenvector of autocorrelation matrix in the end. Since the duration of temporal window is two periods of PN sequence, the PN sequence can be reconstructed by the first principal eigenvector only. Additionally, the eigen-analysis method becomes inefficiency when the estimated PN sequence becomes longer. We can use a PCA NN to realize the PN sequence estimation from lower SNR input DS-SS signals effectively.
会议录出版者	SPRINGER-VERLAG BERLIN ; BERLIN ; HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/19947]
专题	清华大学
推荐引用方式 GB/T 7714	Zhang, TQ,Lin, XK,Zhou, ZZ,et al. A modified PCA neural network to blind estimation of the PN sequence in lower SNR DS-SS signals[C]. 见:ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS, 2nd International Symposium on Neural Networks, Chongqing, PEOPLES R CHINA, Web of Science.

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