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Blind estimation of long and short Pseudo-random codes in multi-rate LSC-DS-CDMA signals

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Blind estimation of long and short Pseudo-random codes in multi-rate LSC-DS-CDMA signals. / Qiang, F.; Zhao, Z.; Gu, X. et al.
In: International Journal of Circuits, Systems and Signal Processing, Vol. 13, 04.09.2018, p. 259-265.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Qiang, F, Zhao, Z, Gu, X & Jiang, X 2018, 'Blind estimation of long and short Pseudo-random codes in multi-rate LSC-DS-CDMA signals', International Journal of Circuits, Systems and Signal Processing, vol. 13, pp. 259-265.

APA

Qiang, F., Zhao, Z., Gu, X., & Jiang, X. (2018). Blind estimation of long and short Pseudo-random codes in multi-rate LSC-DS-CDMA signals. International Journal of Circuits, Systems and Signal Processing, 13, 259-265.

Vancouver

Qiang F, Zhao Z, Gu X, Jiang X. Blind estimation of long and short Pseudo-random codes in multi-rate LSC-DS-CDMA signals. International Journal of Circuits, Systems and Signal Processing. 2018 Sept 4;13:259-265.

Author

Qiang, F. ; Zhao, Z. ; Gu, X. et al. / Blind estimation of long and short Pseudo-random codes in multi-rate LSC-DS-CDMA signals. In: International Journal of Circuits, Systems and Signal Processing. 2018 ; Vol. 13. pp. 259-265.

Bibtex

@article{1a746d55f2d64aac91967b39113b32d5,
title = "Blind estimation of long and short Pseudo-random codes in multi-rate LSC-DS-CDMA signals",
abstract = "Aiming at the problem of blind estimation of pseudo-noise codes in multi-rate long and short codes direct sequence code division multiple access signal, in this paper, a novel codes estimation method based on Fast-ICA algorithm and sequences properties is proposed in this paper. The received signal is firstly segmented twice according to its maximum long scrambling code period and minimum spreading code period. Each user{\textquoteright}s composite code fragments consisting of long and short codes are separated by Fast-ICA algorithm. Then the user's long and short codes are estimated in descending order of the data rate, and the specific steps are as follows. Firstly, the separated composite code fragments make up the fuzzy sequences, and the double delay-and-multiply method is used to eliminate the order fuzzy and spread code interference. Secondly, combined with cyclotomic cosets and triple correlation properties, the method of feature information matching is used to estimate the long scrambling codes of all users with the same data rate. Meanwhile, the short spread codes are estimated by correlation operation. Lastly, all the estimated users{\textquoteright} composite code fragments are deleted by using similarity matrix, fuzzy sequences are reconstructed, and three steps above are repeated until all users{\textquoteright} long and short codes are estimated. Simulation results show the effectiveness of the proposed method. {\textcopyright} 2019, North Atlantic University Union. All rights reserved.",
keywords = "Blind source separation, Feature information matching, Multi-rate long and short codes direct sequence code division multiple access signal, Triple correlation, Blind equalization, Codes (symbols), Correlation operation, Direct sequence code division multiple access, Estimation methods, Feature information, Long scrambling codes, Pseudo random codes, Short codes, Code division multiple access",
author = "F. Qiang and Z. Zhao and X. Gu and Xianyang Jiang",
year = "2018",
month = sep,
day = "4",
language = "English",
volume = "13",
pages = "259--265",
journal = "International Journal of Circuits, Systems and Signal Processing",
issn = "1998-4464",
publisher = "North Atlantic University Union",

}

RIS

TY - JOUR

T1 - Blind estimation of long and short Pseudo-random codes in multi-rate LSC-DS-CDMA signals

AU - Qiang, F.

AU - Zhao, Z.

AU - Gu, X.

AU - Jiang, Xianyang

PY - 2018/9/4

Y1 - 2018/9/4

N2 - Aiming at the problem of blind estimation of pseudo-noise codes in multi-rate long and short codes direct sequence code division multiple access signal, in this paper, a novel codes estimation method based on Fast-ICA algorithm and sequences properties is proposed in this paper. The received signal is firstly segmented twice according to its maximum long scrambling code period and minimum spreading code period. Each user’s composite code fragments consisting of long and short codes are separated by Fast-ICA algorithm. Then the user's long and short codes are estimated in descending order of the data rate, and the specific steps are as follows. Firstly, the separated composite code fragments make up the fuzzy sequences, and the double delay-and-multiply method is used to eliminate the order fuzzy and spread code interference. Secondly, combined with cyclotomic cosets and triple correlation properties, the method of feature information matching is used to estimate the long scrambling codes of all users with the same data rate. Meanwhile, the short spread codes are estimated by correlation operation. Lastly, all the estimated users’ composite code fragments are deleted by using similarity matrix, fuzzy sequences are reconstructed, and three steps above are repeated until all users’ long and short codes are estimated. Simulation results show the effectiveness of the proposed method. © 2019, North Atlantic University Union. All rights reserved.

AB - Aiming at the problem of blind estimation of pseudo-noise codes in multi-rate long and short codes direct sequence code division multiple access signal, in this paper, a novel codes estimation method based on Fast-ICA algorithm and sequences properties is proposed in this paper. The received signal is firstly segmented twice according to its maximum long scrambling code period and minimum spreading code period. Each user’s composite code fragments consisting of long and short codes are separated by Fast-ICA algorithm. Then the user's long and short codes are estimated in descending order of the data rate, and the specific steps are as follows. Firstly, the separated composite code fragments make up the fuzzy sequences, and the double delay-and-multiply method is used to eliminate the order fuzzy and spread code interference. Secondly, combined with cyclotomic cosets and triple correlation properties, the method of feature information matching is used to estimate the long scrambling codes of all users with the same data rate. Meanwhile, the short spread codes are estimated by correlation operation. Lastly, all the estimated users’ composite code fragments are deleted by using similarity matrix, fuzzy sequences are reconstructed, and three steps above are repeated until all users’ long and short codes are estimated. Simulation results show the effectiveness of the proposed method. © 2019, North Atlantic University Union. All rights reserved.

KW - Blind source separation

KW - Feature information matching

KW - Multi-rate long and short codes direct sequence code division multiple access signal

KW - Triple correlation

KW - Blind equalization

KW - Codes (symbols)

KW - Correlation operation

KW - Direct sequence code division multiple access

KW - Estimation methods

KW - Feature information

KW - Long scrambling codes

KW - Pseudo random codes

KW - Short codes

KW - Code division multiple access

M3 - Journal article

VL - 13

SP - 259

EP - 265

JO - International Journal of Circuits, Systems and Signal Processing

JF - International Journal of Circuits, Systems and Signal Processing

SN - 1998-4464

ER -