Journal
CHINA COMMUNICATIONS
Volume 15, Issue 7, Pages 39-46Publisher
CHINA INST COMMUNICATIONS
DOI: 10.1109/CC.2018.8424581
Keywords
orthogonal frequency division multiplexing (OFDM); non-stationary channel estimation; extended Kalman filter (EKF); Iterative Detector & Decoder (IDD); vehicular-to-vehicular (V2V)
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Funding
- National Natural Science Foundation of China [61501066, 61572088, 61701063]
- Chongqing Frontier and Applied Basic Research Project [cstc2015jcyjA40003, cstc2017jcyjAX0026, cstc2016j-cyjA0209]
- Open Fund of the State Key Laboratory of Integrated Services Networks [ISN16-03]
- Fundamental Research Funds for the Central Universities [106112017CDJXY 500001]
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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.
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