BEM-based UKF Channel Estimation for 5G-enabled V2V Channel

BEM-based UKF Channel Estimation for 5G-enabled V2V Channel
复制标题

DOI：
10.1109/globalsip.2018.8646337
复制
发表时间：
2018-11
期刊：
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
影响因子：
--
通讯作者：
Xuanfan Shen;Yong Liao;X. Dai
Xuanfan Shen;Yong Liao;X. Dai
中科院分区：
其他
文献类型：
--
作者：
Xuanfan Shen;Yong Liao;X. Dai

文献摘要

被引文献

相似文献

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.