A New Data Pilot-Aided Channel Estimation Scheme for Fast Time-Varying Channels in IEEE 802.11p Systems

Seunghwan Baek, Inkyu Lee, Changick Song

Research output: Contribution to journalArticle

Abstract

The channel estimation in the IEEE 802.11p vehicle-to-everything (V2X) communication systems is generally a challenging task due to high mobility and insufficient number of pilots. Conventional data pilot-aided channel estimation schemes are difficult to apply in practice due to high complexity and the error propagation problem. In this correspondence paper, we propose a new data pilot-aided channel estimation scheme to overcome both issues. To this end, we develop a state feedback decision algorithm that enables us to extract reliable data pilots within a few received symbols. As a result, we can minimize both the error propagation effect and the computational complexity. We verify the complexity gain of the proposed scheme through the complexity analysis. Finally, we demonstrate the accuracy of the proposed channel estimation scheme in terms of the packet error rate performance.

Original languageEnglish
Article number8671759
Pages (from-to)5169-5172
Number of pages4
JournalIEEE Transactions on Vehicular Technology
Volume68
Issue number5
DOIs
Publication statusPublished - 2019 May 1

Fingerprint

Time-varying Channels
Channel Estimation
Channel estimation
Error Propagation
Complexity Analysis
State feedback
State Feedback
Communication Systems
Error Rate
Computational complexity
Communication systems
Computational Complexity
Correspondence
Verify
Minimise
Demonstrate

Keywords

  • Channel estimation
  • fast time-varying channels
  • IEEE 802.11p
  • V2X
  • WAVE

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

A New Data Pilot-Aided Channel Estimation Scheme for Fast Time-Varying Channels in IEEE 802.11p Systems. / Baek, Seunghwan; Lee, Inkyu; Song, Changick.

In: IEEE Transactions on Vehicular Technology, Vol. 68, No. 5, 8671759, 01.05.2019, p. 5169-5172.

Research output: Contribution to journalArticle

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