Neural network approach to blindestimation of PN spreading sequence in lower SNR DS/SS signals  

作　　者：Zhang Tianqi Lin Xiaokang Zhou Zhengzhong 

机构地区：[1]Graduate School at Shenzhen, Tsinghua Univ., Shenzhen 518055, P. R. China [2]Inst. of Communieation and Information Engineering, Univ. of Electronic Science and Technology of China, Chengdu 610054, P. R. China

出　　处：《Journal of Systems Engineering and Electronics》2005年第4期756-760,共5页系统工程与电子技术（英文版）

摘　　要：An approach based on discrete Karhunen-Loeve transformation of the DS/SS signals is proposed to estimate PN sequence in lower S/N ratio DS/SS signals. Characteristics of self-organization and principle components extraction of unsupervised neural networks are exploited adequately. Theoretical analysis and experimental results are provided to show that this approach can work well on the lower S/N ratio input signals.An approach based on discrete Karhunen-Loeve transformation of the DS/SS signals is proposed to estimate PN sequence in lower S/N ratio DS/SS signals. Characteristics of self-organization and principle components extraction of unsupervised neural networks are exploited adequately. Theoretical analysis and experimental results are provided to show that this approach can work well on the lower S/N ratio input signals.

关 键 词：discrete Karhunen-Loeve transformation neural networks direct sequence spread spectrum （DS/SS） signal PN sequence. 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]