A PN sequence estimation algorithm for DS signal based on average cross-correlation and eigenanalysis in lower SNR conditions  

作　　者：WU LiPing , LI Zan, LI JianDong & CHEN Chen State Key Laboratory of Integrated Service Networks, School of Telecommunications Engineering, Xidian University, Xi’an 710071, China 

出　　处：《Science China(Information Sciences)》2010年第8期1666-1675,共10页中国科学（信息科学）（英文版）

基　　金：supported by the Major Natural Sciences & Technology Projects (Grant No. 2010ZX03006-002-04);the National High-Tech Research & Development Program of China (Grant No. 2009AA01Z237);the National Natural Science Foundation of China (Grant No. 60672129);the Program for New Century Excellent Talents in University (Grant No. NCET-07-0653);the 111 Project (Grant No. B08038);Program for Changjiang Scholars and Innovative Research Team in University (Grant No.IRT0852).

摘　　要：According to the demand of spread spectrum signal processing in lower SNR conditions, a novel algorithm for blind estimation of the pseudo-noise （PN） sequence of the direct sequence spread spectrum （DSSS） signal is proposed based on the similarities among the DSSS signals and the eigenanalysis technique. Firstly, through segmentation processing and average cross-correlation calculation, the starting symbol of PN sequence is determined. Then, by utilizing the eigenanalysis technique PN sequence can be estimated accurately without any information of the DSSS signal. By theoretical analysis and logical deduction, two conclusions about the estimation efficiency and estimation error between the proposed algorithm and the existing algorithms are presented and proved. Simulation results show that compared with the existing algorithms under the same condition, the proposed algorithm not only overcomes the partial-encode problem, but also improves estimation performance by 2 dB, which indicates that the proposed algorithm achieves an accurate estimation of PN sequence in lower SNR conditions.According to the demand of spread spectrum signal processing in lower SNR conditions, a novel algorithm for blind estimation of the pseudo-noise （PN） sequence of the direct sequence spread spectrum （DSSS） signal is proposed based on the similarities among the DSSS signals and the eigenanalysis technique. Firstly, through segmentation processing and average cross-correlation calculation, the starting symbol of PN sequence is determined. Then, by utilizing the eigenanalysis technique PN sequence can be estimated accurately without any information of the DSSS signal. By theoretical analysis and logical deduction, two conclusions about the estimation efficiency and estimation error between the proposed algorithm and the existing algorithms are presented and proved. Simulation results show that compared with the existing algorithms under the same condition, the proposed algorithm not only overcomes the partial-encode problem, but also improves estimation performance by 2 dB, which indicates that the proposed algorithm achieves an accurate estimation of PN sequence in lower SNR conditions.

关 键 词：lower SNR average cross-correlation eigenanalysis technique pseudo-noise sequence 

分 类 号：TN911.7[电子电信—通信与信息系统]