A neural network approach to blind-estimation of PN spreading sequence in lower SNR DS/SS signals | |
Chang, TQ ; Lin, XK ; Zhou, ZZ | |
2010-05-10 ; 2010-05-10 | |
会议名称 | 2004 7TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS 1-3 ; 7th International Conference on Signal Processing ; Beijing, PEOPLES R CHINA ; Web of Science |
关键词 | discrete Karhunen-Loeve transformation neural networks direct sequence spread spectrum (DS/SS) signal and PN sequence Computer Science, Artificial Intelligence Engineering, Electrical & Electronic Imaging Science & Photographic Technology Telecommunications |
中文摘要 | In this paper, ail approach based on discrete Karhunen-Loeve transformation of the DS/SS signals is proposed to estimate PN sequence in lower SNR DS/SS signals. Characteristics of self-organization and principal components extraction of unsupervised neural networks are exploited adequately. Theoretical analysis and experimental results are provided to show that this approach call work well on the lower SNR input signals. |
会议录出版者 | PUBLISHING HOUSE ELECTRONICS INDUSTRY ; BEIJING ; PO BOX 173 WANSHOU ROAD, BEIJING 100036, PEOPLES R CHINA |
语种 | 英语 ; 英语 |
内容类型 | 会议论文 |
源URL | [http://hdl.handle.net/123456789/19973] |
专题 | 清华大学 |
推荐引用方式 GB/T 7714 | Chang, TQ,Lin, XK,Zhou, ZZ. A neural network approach to blind-estimation of PN spreading sequence in lower SNR DS/SS signals[C]. 见:2004 7TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS 1-3, 7th International Conference on Signal Processing, Beijing, PEOPLES R CHINA, Web of Science. |
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