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http://dx.doi.org/10.5573/ieie.2017.54.8.26

Performance Analysis of Adaptive Channel Estimation Scheme in V2V Environments  

Lee, Jihye (School of Electronics & Computer Engineering Chonnam National University)
Moon, Sangmi (School of Electronics & Computer Engineering Chonnam National University)
Kwon, Soonho (School of Electronics & Computer Engineering Chonnam National University)
Chu, Myeonghun (School of Electronics & Computer Engineering Chonnam National University)
Bae, Sara (School of Electronics & Computer Engineering Chonnam National University)
Kim, Hanjong (School of Electrical, Electronics & Communication Engineering, Korea University of Technology and Education)
Kim, Cheolsung (School of Electronics & Computer Engineering Chonnam National University)
Kim, Daejin (School of Electronics & Computer Engineering Chonnam National University)
Hwang, Intae (School of Electronics & Computer Engineering Chonnam National University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.54, no.8, 2017 , pp. 26-33 More about this Journal
Abstract
Vehicle communication can facilitate efficient coordination among vehicles on the road and enable future vehicular applications such as vehicle safety enhancement, infotainment, or even autonomous driving. In the $3^{rd}$ Generation Partnership Project (3GPP), many studies focus on long term evolution (LTE)-based vehicle communication. Because vehicle speed is high enough to cause severe channel distortion in vehicle-to-vehicle (V2V) environments. We can utilize channel estimation methods to approach a reliable vehicle communication systems. Conventional channel estimation schemes can be categorized as least-squares (LS), decision-directed channel estimation (DDCE), spectral temporal averaging (STA), and smoothing methods. In this study, we propose a smart channel estimation scheme in LTE-based V2V environments. The channel estimation scheme, based on an LTE uplink system, uses a demodulation reference signal (DMRS) as the pilot symbol. Unlike conventional channel estimation schemes, we propose an adaptive smoothing channel estimation scheme (ASCE) using quadratic smoothing (QS) of the pilot symbols, which estimates a channel with greater accuracy and adaptively estimates channels in data symbols. In simulation results, the proposed ASCE scheme shows improved overall performance in terms of the normalized mean square error (NMSE) and bit error rate (BER) relative to conventional schemes.
Keywords
ASCE; DDCE; LTE; QS; Smoothing; STA; V2V;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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