Iterative Channel Estimation and Data Detection Algorithm For OTFS Modulation

In this paper, we design an iterative channel estimation and data detection algorithm in delay-Doppler domain for orthogonal time frequency space (OTFS) system by taking advantage of the sparse nature of the channel in this domain. The proposed algorithm iterates between message-passing-aided data d...

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Bibliographic Details
Published inICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 5263 - 5267
Main Authors Ouchikh, Rabah, Aissa-El-Bey, Abdeldjalil, Chonavel, Thierry, Djeddou, Mustapha
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.05.2022
Subjects
Approximation algorithms
Bayes methods
Bayesian approach
Bit error rate
Channel estimation
Iterative algorithm
Iterative algorithms
OTFS
Signal processing algorithms
Time-frequency analysis
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ISSN2379-190X
DOI10.1109/ICASSP43922.2022.9747191

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Summary:In this paper, we design an iterative channel estimation and data detection algorithm in delay-Doppler domain for orthogonal time frequency space (OTFS) system by taking advantage of the sparse nature of the channel in this domain. The proposed algorithm iterates between message-passing-aided data detection and data-aided channel estimation. This sparse channel estimation is reformulated as a specific marginalization of maximum a posteriori (MAP) problem. To deal with the intractability of this problem, we provide a Bayesian approach based on the variational mean-field approximation via the variational Bayesian expectation maximization (VB-EM) algorithm. Finally, we compare the complexity and performance in term of Bit Error Rate (BER) and Normalized Mean Square Error (NMSE) of the proposed solution to a reference solution in the literature (SP-I).
ISSN:2379-190X
DOI:10.1109/ICASSP43922.2022.9747191