A Time Domain-Based Channel Estimator and Data Detector for OTFS Systems

Abhijeet Bishnu; Haifeng Luo; Mathini Sellathurai; Tharmalingam Ratnarajah

doi:10.1109/ICC51166.2024.10622591

A Time Domain-Based Channel Estimator and Data Detector for OTFS Systems

Abhijeet Bishnu^*, Haifeng Luo^*, Mathini Sellathurai^*, Tharmalingam Ratnarajah^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Orthogonal time frequency space (OTFS) modulation has attracted significant attention recently due to its advantages over orthogonal frequency division multiplexing (OFDM) in high-mobility scenarios. The low-complexity transceiver design is of great significance for OTFS systems. In this paper, we propose time domain-based channel estimation and data detection methods for both single-input-single-output (SISO) and multi-input-multi-output (MIMO) systems. In the proposed method, the data is mapped in the delay-time domain as compared to the delay-Doppler domain in OTFS. By doing this, a few pilots are required to estimate the channel coefficients, and data detection is performed symbol by symbol. Simulation results show the robustness of the proposed method for different Doppler shifts and baseband modulation as compared to a single-tap zero forcing equalizer and message-passing algorithm.

Original language	English
Title of host publication	Proceedings of the ICC 2024 - IEEE International Conference on Communications
Editors	Matthew Valenti, David Reed, Melissa Torres
Publisher	IEEE
Pages	3116-3121
Number of pages	6
ISBN (Electronic)	9781728190549
ISBN (Print)	9781728190556
DOIs	https://doi.org/10.1109/ICC51166.2024.10622591
Publication status	Published - 20 Aug 2024
Event	59th Annual IEEE International Conference on Communications 2024 - Denver, United States Duration: 9 Jun 2024 → 13 Jun 2024 https://icc2024.ieee-icc.org/

Conference

Conference	59th Annual IEEE International Conference on Communications 2024
Abbreviated title	ICC 2024
Country/Territory	United States
City	Denver
Period	9/06/24 → 13/06/24
Internet address	https://icc2024.ieee-icc.org/

Keywords

Channel estimation
data detection
Doppler shift
OTFS
time-selective channel

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICC51166.2024.10622591

Cite this

@inproceedings{87005d7630f5409c8683ed77909b874a,

title = "A Time Domain-Based Channel Estimator and Data Detector for OTFS Systems",

abstract = "Orthogonal time frequency space (OTFS) modulation has attracted significant attention recently due to its advantages over orthogonal frequency division multiplexing (OFDM) in high-mobility scenarios. The low-complexity transceiver design is of great significance for OTFS systems. In this paper, we propose time domain-based channel estimation and data detection methods for both single-input-single-output (SISO) and multi-input-multi-output (MIMO) systems. In the proposed method, the data is mapped in the delay-time domain as compared to the delay-Doppler domain in OTFS. By doing this, a few pilots are required to estimate the channel coefficients, and data detection is performed symbol by symbol. Simulation results show the robustness of the proposed method for different Doppler shifts and baseband modulation as compared to a single-tap zero forcing equalizer and message-passing algorithm.",

keywords = "Channel estimation, data detection, Doppler shift, OTFS, time-selective channel",

author = "Abhijeet Bishnu and Haifeng Luo and Mathini Sellathurai and Tharmalingam Ratnarajah",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 59th Annual IEEE International Conference on Communications 2024, ICC 2024 ; Conference date: 09-06-2024 Through 13-06-2024",

year = "2024",

month = aug,

day = "20",

doi = "10.1109/ICC51166.2024.10622591",

language = "English",

isbn = "9781728190556",

pages = "3116--3121",

editor = "Matthew Valenti and David Reed and Melissa Torres",

booktitle = "Proceedings of the ICC 2024 - IEEE International Conference on Communications",

publisher = "IEEE",

address = "United States",

url = "https://icc2024.ieee-icc.org/",

}

Bishnu, A, Luo, H, Sellathurai, M & Ratnarajah, T 2024, A Time Domain-Based Channel Estimator and Data Detector for OTFS Systems. in M Valenti, D Reed & M Torres (eds), Proceedings of the ICC 2024 - IEEE International Conference on Communications. IEEE, pp. 3116-3121, 59th Annual IEEE International Conference on Communications 2024, Denver, Colorado, United States, 9/06/24. https://doi.org/10.1109/ICC51166.2024.10622591

A Time Domain-Based Channel Estimator and Data Detector for OTFS Systems. / Bishnu, Abhijeet; Luo, Haifeng; Sellathurai, Mathini et al.
Proceedings of the ICC 2024 - IEEE International Conference on Communications. ed. / Matthew Valenti; David Reed; Melissa Torres. IEEE, 2024. p. 3116-3121.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - A Time Domain-Based Channel Estimator and Data Detector for OTFS Systems

AU - Bishnu, Abhijeet

AU - Luo, Haifeng

AU - Sellathurai, Mathini

AU - Ratnarajah, Tharmalingam

PY - 2024/8/20

Y1 - 2024/8/20

N2 - Orthogonal time frequency space (OTFS) modulation has attracted significant attention recently due to its advantages over orthogonal frequency division multiplexing (OFDM) in high-mobility scenarios. The low-complexity transceiver design is of great significance for OTFS systems. In this paper, we propose time domain-based channel estimation and data detection methods for both single-input-single-output (SISO) and multi-input-multi-output (MIMO) systems. In the proposed method, the data is mapped in the delay-time domain as compared to the delay-Doppler domain in OTFS. By doing this, a few pilots are required to estimate the channel coefficients, and data detection is performed symbol by symbol. Simulation results show the robustness of the proposed method for different Doppler shifts and baseband modulation as compared to a single-tap zero forcing equalizer and message-passing algorithm.

AB - Orthogonal time frequency space (OTFS) modulation has attracted significant attention recently due to its advantages over orthogonal frequency division multiplexing (OFDM) in high-mobility scenarios. The low-complexity transceiver design is of great significance for OTFS systems. In this paper, we propose time domain-based channel estimation and data detection methods for both single-input-single-output (SISO) and multi-input-multi-output (MIMO) systems. In the proposed method, the data is mapped in the delay-time domain as compared to the delay-Doppler domain in OTFS. By doing this, a few pilots are required to estimate the channel coefficients, and data detection is performed symbol by symbol. Simulation results show the robustness of the proposed method for different Doppler shifts and baseband modulation as compared to a single-tap zero forcing equalizer and message-passing algorithm.

KW - Channel estimation

KW - data detection

KW - Doppler shift

KW - OTFS

KW - time-selective channel

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U2 - 10.1109/ICC51166.2024.10622591

DO - 10.1109/ICC51166.2024.10622591

M3 - Conference contribution

AN - SCOPUS:85202876359

SN - 9781728190556

SP - 3116

EP - 3121

BT - Proceedings of the ICC 2024 - IEEE International Conference on Communications

A2 - Valenti, Matthew

A2 - Reed, David

A2 - Torres, Melissa

PB - IEEE

T2 - 59th Annual IEEE International Conference on Communications 2024

Y2 - 9 June 2024 through 13 June 2024

ER -

A Time Domain-Based Channel Estimator and Data Detector for OTFS Systems

Abstract

Conference

Keywords

ASJC Scopus subject areas

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