Iterative channel estimation and data detection algorithm for OTFS modulation - IMT - Institut Mines-Télécom Access content directly
Conference Papers Year : 2022

Iterative channel estimation and data detection algorithm for OTFS modulation

Abstract

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).
Fichier principal
Vignette du fichier
ouchikh_ICASSP22.pdf (252.25 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03552260 , version 1 (02-02-2022)

Identifiers

Cite

Rabah Ouchikh, Abdeldjalil Aissa El Bey, Thierry Chonavel, Mustapha Djeddou. Iterative channel estimation and data detection algorithm for OTFS modulation. ICASSP 2022: IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, May 2022, Singapor, Singapore. ⟨10.1109/ICASSP43922.2022.9747191⟩. ⟨hal-03552260⟩
139 View
171 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More