Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

SVD-based Blind Estimation of M-Sequence with Modulated DS-CDMA Signals

Authors
Yu Han, Lei Shen, Jia-Jia Miao
Corresponding Author
Yu Han
Available Online December 2016.
DOI
10.2991/icwcsn-16.2017.58How to use a DOI?
Keywords
Blind estimation of m-sequence; SVD; carrier frequency offset
Abstract

An Singular Value Decomposition (SVD) based method was proposed and developed in this work to estimate the m-sequence of modulated Direct-Sequence Code Division Multiple Access (DS-CDMA) signals with carrier frequency offset. By building eigenvalues based objections, a proper carrier frequency range can be determined, so that the msequence can be blindly estimated by SVD in this carrier frequency range. Closed-form models and simulation results suggest that the proposed method is efficient in modulating signals.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
10.2991/icwcsn-16.2017.58How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yu Han
AU  - Lei Shen
AU  - Jia-Jia Miao
PY  - 2016/12
DA  - 2016/12
TI  - SVD-based Blind Estimation of M-Sequence with Modulated DS-CDMA Signals
BT  - Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SP  - 266
EP  - 269
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.58
DO  - 10.2991/icwcsn-16.2017.58
ID  - Han2016/12
ER  -