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

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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Authors and Affiliations

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

   Jaemin Kwak

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

   Sungeon Cho

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

   Kitaeg Lim, Pusik Park, Daekyo Shin & Jongchan Choi

Corresponding author

Correspondence to Jaemin Kwak.

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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