Sparse Delay-Doppler Channel Estimation for OTFS Modulation Using 2D-Music

Akshay S. Bondre, Christ D. Richmond, Ahmed Alkhateeb, Nicolo Michelusi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

In this paper, we address the problem of estimating the delays and Doppler shifts introduced by a sparse wireless channel for orthogonal time frequency space (OTFS) modulation. We show that in the discrete time-frequency (TF) domain, the received signal resulting from an OTFS pilot signal is a superposition of two-dimensional (2D) complex exponentials, where the 2D frequencies of the complex exponentials are given by the delays and Doppler shifts of the scatterers. Thus, estimating the delays and Doppler shifts can be formulated as a 2D sinusoidal frequency estimation problem. We apply a 2D TF domain version of the well-known MUSIC algorithm to recover the delays and Doppler shifts. Since the reduced guard interval frame structure eliminates most of the interference between the pilot and data symbols, the data symbols can be filtered out from the received signal such that only the pilot signal component is used for the 2D MUSIC algorithm.

Original languageEnglish (US)
Title of host publicationICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728163277
DOIs
StatePublished - 2023
Event48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023 - Rhodes Island, Greece
Duration: Jun 4 2023Jun 10 2023

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2023-June
ISSN (Print)1520-6149

Conference

Conference48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
Country/TerritoryGreece
CityRhodes Island
Period6/4/236/10/23

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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