Performance evaluations of channel estimations in IEEE 802.11p environments

Chi Sheng Lin; Che Kang Sun; Jia Chin Lin; Bo Chuan Chen

doi:10.1109/ICUMT.2009.5345402

Performance evaluations of channel estimations in IEEE 802.11p environments

Chi Sheng Lin, Che Kang Sun, Jia Chin Lin, Bo Chuan Chen

Department of Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

25 Scopus citations

Abstract

To solve the defect in IEEE 802.11p standard that coherence bandwidth is insufficient to estimate the channel state in rich scattering environment, hance a time domain channel estimation technique is proposed in this paper. This technique is based on least-square (LS) algorithm, and assisted by Zadoff-Chu sequence in symbol prefix and preamble. The channel models in the simulation are referencing HIPERLAN/2.

Original language	English
Title of host publication	2009 International Conference on Ultra Modern Telecommunications and Workshops
DOIs	https://doi.org/10.1109/ICUMT.2009.5345402
State	Published - 2009
Event	2009 International Conference on Ultra Modern Telecommunications and Workshops - St. Petersburg, Russian Federation Duration: 12 Oct 2009 → 14 Oct 2009

Publication series

Name	2009 International Conference on Ultra Modern Telecommunications and Workshops

Conference

Conference	2009 International Conference on Ultra Modern Telecommunications and Workshops
Country/Territory	Russian Federation
City	St. Petersburg
Period	12/10/09 → 14/10/09

Keywords

Channel estimation
DSRC
IEEE 802.11p
Least square algorithm
Least square algorithm IEEE 802.11p

Access to Document

10.1109/ICUMT.2009.5345402

Cite this

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title = "Performance evaluations of channel estimations in IEEE 802.11p environments",

abstract = "To solve the defect in IEEE 802.11p standard that coherence bandwidth is insufficient to estimate the channel state in rich scattering environment, hance a time domain channel estimation technique is proposed in this paper. This technique is based on least-square (LS) algorithm, and assisted by Zadoff-Chu sequence in symbol prefix and preamble. The channel models in the simulation are referencing HIPERLAN/2.",

keywords = "Channel estimation, DSRC, IEEE 802.11p, Least square algorithm, Least square algorithm IEEE 802.11p",

author = "Lin, {Chi Sheng} and Sun, {Che Kang} and Lin, {Jia Chin} and Chen, {Bo Chuan}",

year = "2009",

doi = "10.1109/ICUMT.2009.5345402",

language = "???core.languages.en_GB???",

isbn = "9781424439416",

series = "2009 International Conference on Ultra Modern Telecommunications and Workshops",

booktitle = "2009 International Conference on Ultra Modern Telecommunications and Workshops",

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}

Lin, CS, Sun, CK, Lin, JC & Chen, BC 2009, Performance evaluations of channel estimations in IEEE 802.11p environments. in 2009 International Conference on Ultra Modern Telecommunications and Workshops., 5345402, 2009 International Conference on Ultra Modern Telecommunications and Workshops, 2009 International Conference on Ultra Modern Telecommunications and Workshops, St. Petersburg, Russian Federation, 12/10/09. https://doi.org/10.1109/ICUMT.2009.5345402

Performance evaluations of channel estimations in IEEE 802.11p environments. / Lin, Chi Sheng; Sun, Che Kang; Lin, Jia Chin et al.
2009 International Conference on Ultra Modern Telecommunications and Workshops. 2009. 5345402 (2009 International Conference on Ultra Modern Telecommunications and Workshops).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Sun, Che Kang

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AU - Chen, Bo Chuan

PY - 2009

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N2 - To solve the defect in IEEE 802.11p standard that coherence bandwidth is insufficient to estimate the channel state in rich scattering environment, hance a time domain channel estimation technique is proposed in this paper. This technique is based on least-square (LS) algorithm, and assisted by Zadoff-Chu sequence in symbol prefix and preamble. The channel models in the simulation are referencing HIPERLAN/2.

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KW - Channel estimation

KW - DSRC

KW - IEEE 802.11p

KW - Least square algorithm

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Y2 - 12 October 2009 through 14 October 2009

ER -

Performance evaluations of channel estimations in IEEE 802.11p environments

Abstract

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Keywords

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