Adaptive Channel Estimation Based on a Decision Method Using a Long Preamble for the IEEE 802.11p

Joo Young Choi, Cheol Mun, Jong Gwan Yook

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)


A minimum mean square error estimation (MMSE) using a virtual pilot channel estimation scheme was proposed by our researchers for improving the error performance of the IEEE 802.11p. However, compared to the STA channel estimation scheme, the MMSE scheme cannot provide an acceptable error performance in a low SNR region. To alleviate this, we propose an adaptive channel estimation scheme, which selectively uses a channel estimation scheme that has an error performance in-between that of the STA and the MMSE, through a decision method using a long preamble. Simulation results demonstrate that the proposed scheme can select a better channel estimation scheme, thereby demonstrating an excellent performance over the entire SNR range of interest.

Original languageEnglish
Title of host publication2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509059324
Publication statusPublished - 2017 Nov 14
Event85th IEEE Vehicular Technology Conference, VTC Spring 2017 - Sydney, Australia
Duration: 2017 Jun 42017 Jun 7

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Conference85th IEEE Vehicular Technology Conference, VTC Spring 2017

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This research was supported by the MSIP (Ministry of Science, ICT, and Future Planning), Korea, under the ITRC(Information Technology Research Center) support program (IITP-2016-H8601-16-1008) supervised by the IITP (Institute for Information and communications Technology Promotion) and by a grant (16CTAP-C098206-02) from the Technology Advancement Research Program (TARP) funded by Ministry of Land, Infrastructure, and Transport of the Korean government.

Publisher Copyright:
© 2017 IEEE.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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