Affordable Access

Iterative channel estimation and data detection algorithm for OTFS modulation

Authors
  • Ouchikh, Rabah
  • Aissa El Bey, Abdeldjalil
  • Chonavel, Thierry
  • Djeddou, Mustapha
Publication Date
May 22, 2022
Source
HAL
Keywords
Language
English
License
Unknown
External links

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).

Report this publication

Statistics

Seen <100 times