Symbol-level selective channel estimation in packet-based OFDM systems

Joo Young Choi, Cheol Mun, Jong Gwan Yook

Research output: Contribution to journalArticlepeer-review

Abstract

Wireless access in vehicular environments to support wireless communication between vehicles has been developed to provide road safety and infotainment services. In vehicular environments where the channel changes rapidly, channel estimation is very important in improving the reliability of wireless communication. Therefore, numerous channel estimation schemes have been proposed; however, none of the schemes proposed so far can perform well over the entire signal-to-noise ratio (SNR) region. In this paper, we propose a novel channel estimation scheme that selectively uses the better scheme between two channel estimation schemes on a symbol-by-symbol basis. The results show that the proposed scheme performs symbol-by-symbol selection of the better channel estimation scheme within a packet, and thus shows excellent performance over the entire SNR region in vehicular environments in terms of the bit error rate and packet error rate.

Original languageEnglish
Article number1274
JournalSensors (Switzerland)
Volume20
Issue number5
DOIs
Publication statusPublished - 2020 Mar

Bibliographical note

Funding Information:
Acknowledgments: This work was supported in part by the Technology Advancement Research Program funded by the Ministry of Land, Infrastructure, and Transport of the Korean government, Grant 20CTAP-C151968-02, and in part by the Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Grant 2018R1D1A3B07050327

Funding Information:
This work was supported in part by the Technology Advancement Research Program funded by the Ministry of Land, Infrastructure, and Transport of the Korean government, Grant 20CTAP-C151968-02, and in part by the Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Grant 2018R1D1A3B07050327.

Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.

All Science Journal Classification (ASJC) codes

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

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