Title :
A neural network approach to blind-estimation of PN spreading sequence in lower SNR DS/SS signals
Author :
Tianqi, Chang ; Xiaokang, Lin ; Zhengzhong, Zhou
Author_Institution :
Grad. Sch., Tsinghua Univ., Shenzhen, China
fDate :
31 Aug.-4 Sept. 2004
Abstract :
In this paper, an 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 can work well on the lower SNR input signals.
Keywords :
Karhunen-Loeve transforms; neural nets; principal component analysis; spread spectrum communication; DS-SS signals; PN sequence; SNR; blind estimation; direct sequence spread spectrum; discrete Karhunen-Loeve transformation; neural network; principal components extraction; Data mining; Gaussian noise; Information analysis; Intelligent networks; Military computing; Neural networks; Poles and towers; Signal analysis; Signal to noise ratio; Spread spectrum communication;
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
DOI :
10.1109/ICOSP.2004.1441670
