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	A neural network method to adaptive feature extraction of lower SNR DS-SS and DS-CDMA signals
	Zhang, Tianqi ; Mu, Aiping ; Zhou, Zhengzhong ; Lin, Xiaokang
	2010-05-10 ; 2010-05-10
会议名称	DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS ; 1st International Conference Bio-Inspired Computing -Theory and Applications ; Wuhan, PEOPLES R CHINA ; Web of Science
关键词	neural networks direct sequence code-division multiple-access (DS-CDMA) pseudo noise (PN) sequence adaptive principal feature extraction CODE Mathematics, Applied
中文摘要	This paper introduces an on-line unsupervised LEArning neural network (NN) for adaptive feature extraction via Principal component analysis (LEAP) of lower signal to noise ratios (SNR) direct sequence spread spectrum (DS-SS) and direct sequence code-division multiple-access (DS-CDMA) signals. The proposed method is based on eigen-analysis of DS-SS and DS-CDMA signals, and exploits the cyclostationarity of communication signals adequately. The received signal is firstly sampled and divided into non-overlapping signal vectors-according to a temporal window, which duration is a period of pseudo noise (PN) sequence (signature waveform). Then an autocorrelation matrix is computed and accumulated by these signal vectors one by one. Since the synchronous point between the symbol waveform and observation window is a randomize determination point, therefore, each vector must contain all information of a whole period of PN sequence. In the end, the PN sequence and its strength can be extracted by the principal eigenvectors and their associated eigenvalues of autocorrelation matrix blindly. But, the eigen-analysis method is belongs to a batch method, it is difficult to rral-time implementation. We can use the LEAP NN method to realize on-line adaptive principal feature extraction and tracking of the lower SNR input DS-SS and DS-CDMA signals effectively.
会议录出版者	WATAM PRESS ; WATERLOO ; C/O DCDIS JOURNAL, 317 KAREN PLACE, WATERLOO, ONTARIO N2L 6K8, CANADA
语种	英语 ; 英语
内容类型	会议论文
源URL	[http://hdl.handle.net/123456789/19943]
专题	清华大学
推荐引用方式 GB/T 7714	Zhang, Tianqi,Mu, Aiping,Zhou, Zhengzhong,et al. A neural network method to adaptive feature extraction of lower SNR DS-SS and DS-CDMA signals[C]. 见:DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS, 1st International Conference Bio-Inspired Computing -Theory and Applications, Wuhan, PEOPLES R CHINA, Web of Science.

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