ML symbol synchronization for OFDM-based WLANs in unknown frequency-selective fading channels

Yik Chung Wu, Kun Wah Yip, Tung Sang Ng, Erchin Serpedin

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Based on the maximum-likelihood principle and the preamble structure of IEEE 802.11a WLAN standard, this paper proposes a new symbol synchronization algorithm for IEEE 802.11a WLANs over frequency-selective fading channels. In addition to the physical channel, the effects of filtering and unknown sampling phase offset are also considered. Loss in system performance due to synchronization error is used as a performance criterion. Computer simulations show that the proposed algorithm has comparable performances to the algorithm based on the generalized Akaike information criterion (GAIC), but the proposed algorithm exhibits reduced complexity.

Original languageEnglish
Pages (from-to)339-344
Number of pages6
JournalConference Record - Asilomar Conference on Signals, Systems and Computers
Volume1
Publication statusPublished - 2004
Externally publishedYes

Fingerprint

Frequency selective fading
Wireless local area networks (WLAN)
Fading channels
Orthogonal frequency division multiplexing
Synchronization
Maximum likelihood
Sampling
Computer simulation

ASJC Scopus subject areas

  • Engineering(all)

Cite this

ML symbol synchronization for OFDM-based WLANs in unknown frequency-selective fading channels. / Wu, Yik Chung; Yip, Kun Wah; Ng, Tung Sang; Serpedin, Erchin.

In: Conference Record - Asilomar Conference on Signals, Systems and Computers, Vol. 1, 2004, p. 339-344.

Research output: Contribution to journalArticle

@article{6e89c0efd3ee42bc8dbc072455d545b9,
title = "ML symbol synchronization for OFDM-based WLANs in unknown frequency-selective fading channels",
abstract = "Based on the maximum-likelihood principle and the preamble structure of IEEE 802.11a WLAN standard, this paper proposes a new symbol synchronization algorithm for IEEE 802.11a WLANs over frequency-selective fading channels. In addition to the physical channel, the effects of filtering and unknown sampling phase offset are also considered. Loss in system performance due to synchronization error is used as a performance criterion. Computer simulations show that the proposed algorithm has comparable performances to the algorithm based on the generalized Akaike information criterion (GAIC), but the proposed algorithm exhibits reduced complexity.",
author = "Wu, {Yik Chung} and Yip, {Kun Wah} and Ng, {Tung Sang} and Erchin Serpedin",
year = "2004",
language = "English",
volume = "1",
pages = "339--344",
journal = "Conference Record of the Asilomar Conference on Signals, Systems and Computers",
issn = "1058-6393",
publisher = "IEEE Computer Society",

}

TY - JOUR

T1 - ML symbol synchronization for OFDM-based WLANs in unknown frequency-selective fading channels

AU - Wu, Yik Chung

AU - Yip, Kun Wah

AU - Ng, Tung Sang

AU - Serpedin, Erchin

PY - 2004

Y1 - 2004

N2 - Based on the maximum-likelihood principle and the preamble structure of IEEE 802.11a WLAN standard, this paper proposes a new symbol synchronization algorithm for IEEE 802.11a WLANs over frequency-selective fading channels. In addition to the physical channel, the effects of filtering and unknown sampling phase offset are also considered. Loss in system performance due to synchronization error is used as a performance criterion. Computer simulations show that the proposed algorithm has comparable performances to the algorithm based on the generalized Akaike information criterion (GAIC), but the proposed algorithm exhibits reduced complexity.

AB - Based on the maximum-likelihood principle and the preamble structure of IEEE 802.11a WLAN standard, this paper proposes a new symbol synchronization algorithm for IEEE 802.11a WLANs over frequency-selective fading channels. In addition to the physical channel, the effects of filtering and unknown sampling phase offset are also considered. Loss in system performance due to synchronization error is used as a performance criterion. Computer simulations show that the proposed algorithm has comparable performances to the algorithm based on the generalized Akaike information criterion (GAIC), but the proposed algorithm exhibits reduced complexity.

UR - http://www.scopus.com/inward/record.url?scp=21644451116&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=21644451116&partnerID=8YFLogxK

M3 - Article

VL - 1

SP - 339

EP - 344

JO - Conference Record of the Asilomar Conference on Signals, Systems and Computers

JF - Conference Record of the Asilomar Conference on Signals, Systems and Computers

SN - 1058-6393

ER -