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

Joo Young Choi; Cheol Mun; Jong Gwan Yook

doi:10.3390/s20051274

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

Joo Young Choi, Cheol Mun, Jong Gwan Yook

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

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 language	English
Article number	1274
Journal	Sensors (Switzerland)
Volume	20
Issue number	5
DOIs	https://doi.org/10.3390/s20051274
Publication status	Published - 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

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

Access to Document

10.3390/s20051274

Cite this

@article{47c1d7a13c64488c95ad2bb55e624237,

title = "Symbol-level selective channel estimation in packet-based OFDM systems",

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.",

author = "Choi, {Joo Young} and Cheol Mun and Yook, {Jong Gwan}",

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 Publisher Copyright: {\textcopyright} 2020 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2020",

month = mar,

doi = "10.3390/s20051274",

language = "English",

volume = "20",

journal = "Sensors",

issn = "1424-3210",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "5",

}

TY - JOUR

T1 - Symbol-level selective channel estimation in packet-based OFDM systems

AU - Choi, Joo Young

AU - Mun, Cheol

AU - Yook, Jong Gwan

N1 - 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 Publisher Copyright: © 2020 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2020/3

Y1 - 2020/3

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85079875447&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85079875447&partnerID=8YFLogxK

U2 - 10.3390/s20051274

DO - 10.3390/s20051274

M3 - Article

C2 - 32110972

AN - SCOPUS:85079875447

SN - 1424-3210

VL - 20

JO - Sensors

JF - Sensors

IS - 5

M1 - 1274

ER -

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

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this