'Institute of Electrical and Electronics Engineers (IEEE)'
Doi
Abstract
An Unscented Kalman Filter (UKF) based on Basis Expansion Model (BEM) is proposed in this paper to cope with the challenges of 5G-enabled V2V channel estimation. The BEM is adopted to reduce the estimation complexity and eliminate the inter-carrier interference (ICI). A channel estimation based on UKF which is able to jointly estimate the time-varying time correlation coefficients and channel impulse response (CIR) in a non-linear state space model is proposed. Simulation results illustrate that the proposed BEM-based UKF method shows better estimation accuracy, robustness and bit error rate (BER) performance than the traditional channel estimation methods in 5G-enabled V2V channel