Variational Bayesian Channel Estimation in Wideband Multi-Scale Multi-Lag Channels

Halder, N and Kp, A and Murthy, CR (2023) Variational Bayesian Channel Estimation in Wideband Multi-Scale Multi-Lag Channels. In: UNSPECIFIED.

PDF Ica_iee_int_aco_spe_sig_pro_pro_2023.pdf - Published Version Restricted to Registered users only Download (1MB) | Request a copy

Abstract

A new variable bandwidth multicarrier (VBMC) waveform was presented in 1 for communicating over wideband rapidly time-varying multi-scale multi-lag (MSML) channels. Perfect channel state information was assumed to be available at the receiver in 1. In this work, we address the problem of channel estimation for VBMC based communications over wideband MSML channels. Using the Variational Bayesian (VB) inference framework, we estimate the channel from short preamble and postamble waveforms that are primarily used for timing and carrier frequency synchronization, and then decode the data symbols in VBMC communications. We also derive the Bayesian Cramér-Rao bound (BCRB) of the channel estimate as a benchmark for assessing the normalized mean squared error (NMSE) performance of the estimators. We numerically illustrate the efficacy of our approach in the context of underwater acoustic channel estimation. © 2023 IEEE.

Item Type:	Conference Paper
Publication:	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	04 Mar 2024 09:20
Last Modified:	04 Mar 2024 09:20
URI:	https://eprints.iisc.ac.in/id/eprint/84288

Actions (login required)

View Item