Channel Estimation and Optimal Pilot Signals for Universal Filtered Multi-Carrier (UFMC) Systems

Zhang, L. , He, C., Mao, J., Ijaz, A. and Xiao, P. (2018) Channel Estimation and Optimal Pilot Signals for Universal Filtered Multi-Carrier (UFMC) Systems. In: 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Montreal, Quebec, Canada, 8-13 Oct 2017, ISBN 9781538635315 (doi: 10.1109/PIMRC.2017.8292777)

Abstract

We propose channel estimation algorithms and pilot signal optimization for the universal filtered multi-carrier (UFMC) system based on the comb-type pilot pattern. By considering the least square linear interpolation (LSLI), discrete Fourier transform (DFT), minimum mean square error (MMSE) and relaxed MMSE (RMMSE) channel estimators, we formulate the pilot signals optimization problem by minimizing the estimation MSE subject to the power constraint on pilot tones. The closed-form optimal solutions and minimum MSE are derived for LSLI, DFT, MMSE and RMMSE estimators.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Zhang, Professor Lei
• Authors: Zhang, L., He, C., Mao, J., Ijaz, A., and Xiao, P.
• College/School: College of Science and Engineering > School of Engineering
• ISSN: 2166-9589
• ISBN: 9781538635315
• Copyright Holders: Copyright © 2017 IEEE
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher