DocumentCode :
29087
Title :
Zadoff-Chu Sequence Based Signature Identification for OFDM
Author :
Kilbom Lee ; Joonsuk Kim ; Jaehoon Jung ; Inkyu Lee
Author_Institution :
Sch. of Electr. Eng., Korea Univ., Seoul, South Korea
Volume :
12
Issue :
10
fYear :
2013
fDate :
Oct-13
Firstpage :
4932
Lastpage :
4942
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.
Keywords :
OFDM modulation; cellular radio; computer network reliability; digital signatures; fading channels; maximum likelihood estimation; probability; radio receivers; sequences; wireless LAN; OFDM; SNR; Zadoff-Chu sequence; cell identification information; failure probability curve; frequency selective fading channel; maximum likelihood identification; orthogonal frequency division multiplexing; power delay profile; receiver; signal to noise ratio; signature identification algorithm; signature identification failure; user identification; wireless cellular system; wireless channel; wireless local area network; Algorithm design and analysis; Delays; Equations; OFDM; Receivers; Signal to noise ratio; Vectors; Chu sequence; OFDM; cell identification;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2013.092013.121533
Filename :
6612906
Link To Document :
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