Bayesian frame synchronization using periodic preamble for OFDM-based WLANs

Author

Pacheco, Ryan A. ; Üreten, Oktay ; Hatzinakos, Dimitrios ; Serinken, Nur

Author_Institution

Univ. of Toronto, Ont., Canada

Volume

12

Issue

7

fYear

2005

fDate

7/1/2005 12:00:00 AM

Firstpage

524

Lastpage

527

Abstract

In this letter, the principles of Bayesian changepoint detection are applied to the problem of frame synchronization in wireless systems that use a periodic training signal as part of the packet preamble. An autocorrelation-based metric is used, which allows modeling the synchronization problem as a problem of changepoint detection of a Gaussian process. A MAP estimator for the changepoint is derived that suits the wireless scenario. Examples and comparisons are made using the IEEE 802.11a OFDM standard. It is demonstrated that the proposed method has advantages over some existing synchronization approaches in terms of accuracy, latency, and/or complexity.

Keywords

Bayes methods; Gaussian processes; IEEE standards; OFDM modulation; correlation methods; maximum likelihood estimation; synchronisation; telecommunication standards; wireless LAN; Bayesian changepoint detection; Gaussian process; IEEE 802.11a OFDM standard; MAP estimator; WLAN; autocorrelation-based metric; frame synchronization; maximum a posteriori; orthogonal frequency division multiplexing; periodic training signal; wireless local area network; wireless system; Autocorrelation; Bayesian methods; Delay; Frequency estimation; Frequency synchronization; Gaussian processes; Helium; OFDM; Signal processing; Wireless LAN; Bayesian changepoint detection; IEEE 802.11a; frame synchronization; maximum a posteriori (MAP) estimation; orthogonal frequency division multiplexing (OFDM); periodic training signal; wireless local area network (WLAN);

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2005.849490

Filename

1453550