DocumentCode
436628
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
Volume
2
fYear
2004
fDate
31 Aug.-4 Sept. 2004
Firstpage
1735
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN
0-7803-8406-7
Type
conf
DOI
10.1109/ICOSP.2004.1441670
Filename
1441670
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