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Open AccessArticle

Preamble-Based Adaptive Channel Estimation for IEEE 802.11p

1
Department of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Korea
2
Department of Electronics and Control Engineering, Hanbat National University, Daejeon 34158, Korea
3
Department of Electronic Engineering, Korea National University of Transportation, Chungju 27469, Korea
*
Authors to whom correspondence should be addressed.
This paper is an extended version of the conference paper: Choi, J.Y.; Mun, C.; Yook, J.G. Adaptive Channel Estimation Based on a Decision Method Using a Long Preamble for the IEEE 802.11p. In Proceedings of the IEEE 85th Vehicular Technology Conference (VTC Spring), Sydney, NSW, Australia, 4–7 June 2017.
Sensors 2019, 19(13), 2971; https://doi.org/10.3390/s19132971
Received: 13 June 2019 / Revised: 28 June 2019 / Accepted: 3 July 2019 / Published: 5 July 2019
(This article belongs to the Special Issue Vehicular Network Communications)
Recently, research into autonomous driving and traffic safety has been drawing a great deal of attention. To realize autonomous driving and solve traffic safety problems, wireless access in vehicular environments (WAVE) technology has been developed, and IEEE 802.11p defines the physical (PHY) layer and medium access control (MAC) layer in the WAVE standard. However, the IEEE 802.11p frame structure, which has low pilot density, makes it difficult to predict the properties of wireless channels in a vehicular environment with high vehicle speeds; thus, the performance of the system is degraded in realistic vehicular environments. The motivation for this paper is to improve the channel estimation and tracking performance without changing the IEEE 802.11p frame structure. Therefore, we propose a channel estimation technique that can perform well over the entire SNR range of values by changing the method of channel estimation accordingly. The proposed scheme selectively uses two channel estimation schemes, each with outstanding performance for either high-SNR or low-SNR signals. To implement this, an adaptation algorithm based on a preamble is proposed. The preamble is a signal known to the transmitter–receiver, so that the receiver can obtain channel estimates without demapping errors, evaluating performance of the channel estimation schemes. Simulation results comparing the proposed method to other schemes demonstrate that the proposed scheme can selectively switch between the two schemes to improve overall performance. View Full-Text
Keywords: IEEE 802.11p; Preamble; Adaptive Channel Estimation; Intelligent Transportation Systems; Vehicular Communications IEEE 802.11p; Preamble; Adaptive Channel Estimation; Intelligent Transportation Systems; Vehicular Communications
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MDPI and ACS Style

Choi, J.-Y.; Jo, H.-S.; Mun, C.; Yook, J.-G. Preamble-Based Adaptive Channel Estimation for IEEE 802.11p. Sensors 2019, 19, 2971. https://doi.org/10.3390/s19132971

AMA Style

Choi J-Y, Jo H-S, Mun C, Yook J-G. Preamble-Based Adaptive Channel Estimation for IEEE 802.11p. Sensors. 2019; 19(13):2971. https://doi.org/10.3390/s19132971

Chicago/Turabian Style

Choi, Joo-Young; Jo, Han-Shin; Mun, Cheol; Yook, Jong-Gwan. 2019. "Preamble-Based Adaptive Channel Estimation for IEEE 802.11p" Sensors 19, no. 13: 2971. https://doi.org/10.3390/s19132971

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