This article is part of the series Intelligent Systems for Future Generation Wireless Networks.

Open Access Research Article

Intelligent Modified Channel and Frequency Offset Estimation Schemes in Future Generation OFDM-Based Packet Communication Systems

Jaemin Kwak1*, Sungeon Cho2, Kitaeg Lim3, Pusik Park3, Daekyo Shin3 and Jongchan Choi3

Author Affiliations

1 Division of Marine Electronics and Communication Engineering, Mokpo National Maritime University, 571, Jukgyo-dong, Mokpo-si, Jeollanam-do 530-729, South Korea

2 Division of Computer & Communications Engineering , Sunchon National University, 315, Maegok-dong, Sunchon-si, Jeollanam-do 540-742, South Korea

3 SoC Research Center, Korea Electronics Technology Institute, 68, Yatap-dong, Bundang-gu, Seongnam-si, Gyeonggi-do 463-816, South Korea

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EURASIP Journal on Wireless Communications and Networking 2008, 2008:735732  doi:10.1155/2008/735732

The electronic version of this article is the complete one and can be found online at:

Received: 30 January 2008
Accepted: 5 June 2008
Published: 16 June 2008

© 2008 The Author(s)

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The channel estimation and frequency offset estimation scheme for future generation orthogonal frequency division multiplexing (OFDM-) based intelligent packet communication systems are proposed. In the channel estimation scheme, we use additional 8 short training symbols besides 2 long training symbols for intelligently improving estimation performance. In the proposed frequency offset estimation scheme, we allocate intelligently different powers to the short and long training symbols while maintaining average power of overall preamble sequence. The preamble structure considered is based on the preamble specified in standardization group of IEEE802.11a for wireless local area network (WLAN) and IEEE802.11p for intelligent transportation systems (ITSs). From the simulation results, it is shown that the proposed intelligent estimation schemes can achieve better mean squared error (MSE) performance for channel and frequency offset estimation error than the conventional scheme. The proposed schemes can be used in designing for enhancing the performance of OFDM-based future generation intelligent communication network systems.

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