DocumentCode :
2986582
Title :
Period Estimation of PN Sequence for Weak DSSS Signals Based on Improved Power Spectrum Reprocessing in Non-cooperative Communication Systems
Author :
Zhang Yu ; Wu Hao ; Chen Yong
Author_Institution :
CESEC, Nanjing Telecommun. Technol. Inst., Nanjing, China
fYear :
2012
fDate :
7-9 Dec. 2012
Firstpage :
924
Lastpage :
927
Abstract :
To solve the period estimation of pseudo-noise (PN) sequence of direct sequence spread spectrum (DSSS) signals with low signal to noise rates (SNR) in non-cooperative communication systems, this paper presents a wavelet decomposition-based power spectrum reprocessing method with accumulation to estimate the period of PN sequence for weak DSSS signals. Firstly, the wavelet decomposition is employed to preprocess the DSSS signals with noise instead of the pre-filter when the optimal re-filter can´t design without any prior knowledge. Then the period of PN sequence is estimated by power spectrum reprocessing with accumulation. Theory analysis and simulation results show that the proposed method can accurately estimate the period of PN sequence with very low SNR in non-cooperative communication.
Keywords :
code division multiple access; pseudonoise codes; sequences; spectral analysis; spread spectrum communication; wavelet transforms; DSSS signal preprocessing; PN sequence; direct sequence spread spectrum; noncooperative communication system; period estimation; power spectrum reprocessing method; pseudonoise sequence; wavelet decomposition; Correlation; Estimation; Modulation; Signal to noise ratio; Spread spectrum communication; Time domain analysis; DSSS signals; estimation; period of PN sequence; power spectrum preprocessing; wavelet decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Engineering and Communication Technology (ICCECT), 2012 International Conference on
Conference_Location :
Liaoning
Print_ISBN :
978-1-4673-4499-9
Type :
conf
DOI :
10.1109/ICCECT.2012.64
Filename :
6413964
Link To Document :
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