Blind Estimation of the Pseudo Noise Sequence and Information Sequence for Short Code Synchronous and Asynchronous DS-CDMA Signal

Yang ZHOU; Tianqi ZHANG

doi:10.11999/JEIT180812

Volume 41 Issue 7

Jul. 2019

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(7): 1540-1547

Yang ZHOU, Tianqi ZHANG. Blind Estimation of the Pseudo Noise Sequence and Information Sequence for Short Code Synchronous and Asynchronous DS-CDMA Signal[J]. Journal of Electronics & Information Technology, 2019, 41(7): 1540-1547. doi: 10.11999/JEIT180812

Citation:

Yang ZHOU, Tianqi ZHANG. Blind Estimation of the Pseudo Noise Sequence and Information Sequence for Short Code Synchronous and Asynchronous DS-CDMA Signal[J]. Journal of Electronics & Information Technology, 2019, 41(7): 1540-1547. doi: 10.11999/JEIT180812

Citation:

PDF( 4600 KB)

Blind Estimation of the Pseudo Noise Sequence and Information Sequence for Short Code Synchronous and Asynchronous DS-CDMA Signal

doi: 10.11999/JEIT180812

Yang ZHOU^,,
Tianqi ZHANG

Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The National Natural Science Foundation of China (61671095, 61371164), The Project of Key Laboratory of Signal and Information Processing of Chongqing (CSTC2009CA2003), The Chongqing Distinguished Youth Foundation (CSTC2011jjjq40002)

Received Date: 2018-08-17
Rev Recd Date: 2019-02-27

Available Online: 2019-03-18

Publish Date: 2019-07-01

Abstract

Abstract

For the problem of Direct Sequence-Code Division Multiple Access (DS-CDMA) signal in traditional asynchronous single-channel, including blind estimation of the Pseudo-Noise (PN) sequence and information sequence, a method using multi-channel synchronous and asynchronous based on PARAllel FACtor (PARAFAC) is proposed. Firstly, the signal is modeled as a multi-channel receiving model, then the observed data matrix is equivalent to a factor model. Finally, the iterative least squares algorithm is applied to decomposing the parallel factor, and the information sequence and PN sequences of DS-CDMA signals are further estimated. The simulation results show that the proposed method can effectively estimate the PN sequence and information sequence of the short code DS-CDMA signal, and the estimation of 6 user PN sequences can be realized under the condition that the number of channels is 10 and the Signal-to-Noise Ratio (SNR) is –10 dB.

FullText(HTML)

References(15)

References

田日才, 迟永钢. 扩频通信[M]. 2版. 北京: 清华大学出版社, 2014: 1–5.

TIAN Ricai and CHI Yonggang. Spread Spectrum Communication[M]. 2nd ed. Beijing: Tsinghua University Press, 2014: 1–5.

LUO Zhongqiang and ZHU Lidong. A charrelation matrix-based blind adaptive detector for DS-CDMA Systems[J]. Sensors, 2015, 15(8): 20152–20168. doi: 10.3390/s150820152

张天骐, 杨强, 宋玉龙, 等. 基于相似度的直扩信号盲解扩方法[J]. 系统工程与电子技术, 2017, 39(7): 1451–1456. doi: 10.3969/j.issn.1001-506X.2017.07.04

ZHANG Tianqi, YANG Qiang, SONG Yulong, et al. Similarity based blind despread method of DS-SS signal[J]. Systems Engineering and Electronics, 2017, 39(7): 1451–1456. doi: 10.3969/j.issn.1001-506X.2017.07.04

ZHOU Liqing, LEUNG H, XU Peng, et al. The Kalman filtering blind adaptive multi-user detector based on tracking algorithm of signal subspace[J]. Information, 2015, 6(1): 3–13. doi: 10.3390/info6010003

赵知劲, 李淼, 尚俊娜. 基于矩阵填充和三阶相关的长短码DS-CDMA信号多伪码盲估计[J]. 电子与信息学报, 2016, 38(7): 1788–1793. doi: 10.11999/JEIT151087

ZHAO Zhijin, LI Miao, and SHANG Junna. Blind estimation of LSC-DS-CDMA signal based on matrix completion and triple correlation[J]. Journal of Electronics &Information Technology, 2016, 38(7): 1788–1793. doi: 10.11999/JEIT151087

GU Xiaowei, ZHAO Zhijin, and SHEN Lei. Blind estimation of pseudo-random codes in periodic long code direct sequence spread spectrum signals[J]. IET Communications, 2016, 10(11): 1273–1281. doi: 10.1049/iet-com.2015.0374

张天骐, 赵军桃, 江晓磊. 基于多主分量神经网络的同步DS-CDMA伪码盲估计[J]. 系统工程与电子技术, 2016, 38(11): 2638–2647. doi: 10.3969/j.issn.1001-506X.2016.11.27

ZHANG Tianqi, ZHAO Juntao, and JIANG Xiaolei. PN code sequence blind estimate of synchronous DS-CDMA based on multi-principal component neural network[J]. Systems Engineering and Electronics, 2016, 38(11): 2638–2647. doi: 10.3969/j.issn.1001-506X.2016.11.27

付卫红, 杨小牛, 刘乃安. 基于盲源分离的CDMA多用户检测与伪码估计[J]. 电子学报, 2008, 36(7): 1319–1323. doi: 10.3321/j.issn:0372-2112.2008.07.013

FU Weihong, YANG Xiaoniu, and LIU Naian. The multi-user detection and chip sequence estimation for CDMA system based on the blind source separation[J]. Acta Electronica Sinica, 2008, 36(7): 1319–1323. doi: 10.3321/j.issn:0372-2112.2008.07.013

任啸天, 徐晖, 黄知涛, 等. 基于Fast-ICA同、异步系统短码CDMA信号扩频序列与信息序列盲估计[J]. 电子学报, 2011, 39(12): 2726–2732.

REN Xiaotian, XU Hui, HUANG Zhitao, et al. Fast-ICA based blind estimation of spreading and information sequences of short-code CDMA signals in synchronous and asynchronous systems[J]. Acta Electronica Sinica, 2011, 39(12): 2726–2732.

DE LATHAUWER L and CASTAING J. Tensor-based techniques for the blind separation of DS-CDMA signals[J]. Signal Processing, 2007, 87(2): 322–336. doi: 10.1016/j.sigpro.2005.12.015

ZHANG Tianqi, QIAN Wenrui, ZHANG Gang, et al. Parameter estimation of MC-CDMA signals based on modified cyclic autocorrelation[J]. Digital Signal Processing, 2016, 54: 46–53. doi: 10.1016/j.dsp.2016.03.007

SIDIROPOULOS N D, GIANNAKIS G B, and BRO R. Blind PARAFAC receivers for DS-CDMA systems[J]. IEEE Transactions on Signal Processing, 2000, 48(3): 810–823. doi: 10.1109/78.824675

HARSHMAN R A, HONG S, and LUNDY M E. Shifted factor analysis-Part I: Models and properties[J]. Journal of Chemometrics, 2003, 17(7): 363–378. doi: 10.1002/cem.808

张天骐, 强幸子, 马宝泽, 等. 基于最小二乘的同步多用户非周期长码直扩信号扩频序列估计[J]. 电波科学学报, 2016, 31(6): 1113–1123. doi: 10.13443/j.cjors.2016030201

ZHANG Tianqi, QIANG Xingzi, MA Baoze, et al. Estimation of the spread spectrum sequence for synchronous multi-user aperiodic long-code DSSS signals based on least squares[J]. Chinese Journal of Radio Science, 2016, 31(6): 1113–1123. doi: 10.13443/j.cjors.2016030201

张贤达. 矩阵分析与应用[M]. 2版. 北京: 清华大学出版社, 2013: 604–608.

ZHANG Xianda. Matrix Analysis and Applications[M]. 2nd ed. Beijing: Tsinghua University Press, 2013: 604–608.

Relative Articles

Supplements(0)

Cited By

Proportional views