Joint channel estimation and decoding design for 5G-enabled V2V channel

Shen, Xuanfan, Liao, Yong, Dai, Xuewu, Zhao, Ming, Liu, Kai and Wang, Dan (2018) Joint channel estimation and decoding design for 5G-enabled V2V channel. China Communications, 15 (7). pp. 39-46. ISSN 1673-5447

Full text not available from this repository.
Official URL:


This paper addresses the problem of channel estimation in 5G-enabled vehicular-to-vehicular (V2V) channels with high-mobility environments and non-stationary feature. Considering orthogonal frequency division multiplexing (OFDM) system, we perform extended Kalman filter (EKF) for channel estimation in conjunction with Iterative Detector & Decoder (IDD) at the receiver to improve the estimation accuracy. The EKF is proposed for jointly estimating the channel frequency response and the time-varying time correlation coefficients. And the IDD structure is adopted to reduce the estimation errors in EKF. The simulation results show that, compared with traditional methods, the proposed method effectively promotes the system performance.

Item Type: Article
Uncontrolled Keywords: orthogonal frequency division multiplexing (OFDM), non-stationary channel estimation, extended Kalman filter (EKF), Iterative Detector & Decoder (IDD), vehicular-to-vehicular (V2V)
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Elena Carlaw
Date Deposited: 07 Mar 2019 09:08
Last Modified: 10 Oct 2019 21:46

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics