Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Zadoff-Chu Sequence Based Signature Identification for OFDM

Authors
Lee, KilbomKim, JoonsukJung, JaehoonLee, Inkyu
Issue Date
10월-2013
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
OFDM; Chu sequence; cell identification
Citation
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, v.12, no.10, pp.4932 - 4942
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Volume
12
Number
10
Start Page
4932
End Page
4942
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/101951
DOI
10.1109/TWC.2013.092013.121533
ISSN
1536-1276
Abstract
A signature identification algorithm is a method to obtain the cell identification information for wireless cellular systems or determine the intended user for wireless local area network. In this paper, we propose a simple and efficient signature identification algorithm on the basis of Zadoff-Chu sequence in orthogonal frequency division multiplexing systems. In addition, we prove that the proposed algorithm achieves a maximum likelihood solution if the receiver knows the channel length. Also, the exact probabilities of signature identification failures of the proposed algorithm are provided for different power delay profiles. To demonstrate efficacy of the proposed algorithm in fading channels, we derive the failure probability at high signal-to-noise ratio (SNR). Through a high SNR expression, it is shown that the proposed algorithm fully exploits frequency selective fadings. Especially, we reveal that the slope of the failure probability curves at high SNR is determined by the channel length regardless of power delay profiles. Simulation results show that the proposed algorithm outperforms conventional signature algorithms in frequency selective fading channels. Also, we confirm that our analysis matches well with the empirical results of the proposed signature identification algorithm.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > School of Electrical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, In kyu photo

Lee, In kyu
공과대학 (전기전자공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE