A Neural Network Approach to Blind Estimation of PN Spreading Sequence in DS/SS Signals

被引：1
|
作者：
张天麒
周正中
机构：
[1] Tsinghua University Guangdong Shenzhen 518055 China
[2] UESTC Chengdu 610054 China
[3] Graduate School at Shenzhen
[4] School of Communication and Information Engineering
来源：
Journal of Electronic Science and Technology of China | 2004年 / 02期
关键词：
neural networks; direct sequence spread spectrum signal; PN sequence;
D O I：
暂无
中图分类号：
TN911 [通信理论];
学科分类号：
081002 ;
摘要：
In this paper, a new approach is proposed to estimate pseudo noise(PN) sequence in the lower SNR DS/SS signals blindly. This method utilizes the characteristics of self-organization, principal components analysis and extraction of unsupervised neural networks adequately, in addition to its higher-speed operation ability, successfully solve the difficult problem about PN sequence blind estimation. The theoretic analysis and experimental results show that this approach can work very well on lower SNR input signals.
引用
收藏
页码：1 / 6
页数：6
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