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.
| Original language | English |
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| Title of host publication | 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1214-1217 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781728112954 |
| ISBN (Print) | 9781728112961 |
| DOIs | |
| Publication status | Published - 21 Feb 2019 |
| Event | 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Anaheim, United States Duration: 26 Nov 2018 → 29 Nov 2018 |
Conference
| Conference | 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 |
|---|---|
| Country/Territory | United States |
| City | Anaheim |
| Period | 26/11/18 → 29/11/18 |
Keywords
- 5G-enabled V2V channel
- BEM
- Channel estimation
- Non-stationary channel
- UKF