Paper Info
Title
Blind estimation of the PN sequence in lower SNR DS-SS signals with residual carrier
Abstract
This paper presents a method of singular value decomposition (SVD) plus digital phase lock loop (DPLL) to solve the difficult problem of blind pseudo-noise (PN) sequence estimation in low signal to noise ratios (SNR) direct sequence spread spectrum (DS-SS, DS) signals with residual carrier. Of course, the method needs to know the parameters of DS signal, such as the period and code rate of PN sequence. Firstly, the received signal is sampled and divided into non-overlapping signal vectors according to a temporal window, whose duration is two periods of PN sequence. Then, an autocorrelation matrix is computed and accumulated by the signal vectors one by one. The PN sequence with residual carrier can be estimated by the principal eigenvector of this autocorrelation matrix. Furthermore, a DPLL is used to deal with the estimated PN sequence with residual carrier, it estimates and tracks the residual carrier, removes the residual carrier in the end. Theory analysis and computer simulation results show that this method can effectively realize the PN sequence estimation from the input DS signals with residual carrier in lower SNR.
Year
DOI
Venue
2012
10.1016/j.dsp.2011.09.009
Digital Signal Processing
Keywords
Field
DocType
direct sequence spread spectrum,residual carrier,pn sequence,sequence estimation,blind estimation,input ds signal,ds signal,pn sequence estimation,autocorrelation matrix,low signal,lower snr ds-ss signal,estimated pn sequence
Code rate,DPLL algorithm,Artificial intelligence,Residual carrier,Singular value decomposition,Phase-locked loop,Pattern recognition,Signal-to-noise ratio,Autocorrelation matrix,Algorithm,Speech recognition,Direct-sequence spread spectrum,Mathematics
Journal
Volume
Issue
ISSN
22
1
1051-2004
Citations 
PageRank 
References 
3
0.42
6
Authors
5
Name
Order
Citations
PageRank
Tianqi Zhang16821.52
Shaosheng Dai2142.84
Wei Zhang344072.00
Guoning Ma430.42
Xiangyun Gao530.42