Radar Sensing via OTFS Signaling: A Delay Doppler Signal Processing Perspective

Kecheng ZHANG; Weijie YUAN; Shuangyang LI; Fan LIU; Feifei GAO; Pingzhi FAN; Yunlong CAI

doi:10.1109/ICC45041.2023.10279816

Radar Sensing via OTFS Signaling: A Delay Doppler Signal Processing Perspective

Kecheng ZHANG, Weijie YUAN, Shuangyang LI, Fan LIU, Feifei GAO, Pingzhi FAN, Yunlong CAI

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

7 Citations (Scopus)

Abstract

The recently proposed orthogonal time frequency space (OTFS) modulation multiplexes data symbols in the delay-Doppler (DD) domain. Since the range and velocity, which can be derived from the delay and Doppler shifts, are the parameters of interest for radar sensing, it is natural to consider implementing DD signal processing for radar sensing. In this paper, we investigate the potential connections between the OTFS and DD domain radar signal processing. Our analysis shows that the range-Doppler matrix computing process in radar sensing is exactly the demodulation of OTFS with a rectangular pulse shaping filter. Furthermore, we propose a two-dimensional (2D) correlation-based algorithm to estimate the fractional delay and Doppler parameters for radar sensing. Simulation results show that the proposed algorithm can efficiently obtain the delay and Doppler shifts associated with multiple targets.

Original language	English
Title of host publication	ICC 2023: IEEE International Conference on Communications: Sustainable Communications for Renaissance
Editors	Michele ZORZI, Meixia TAO, Walid SAAD
Publisher	IEEE
Pages	6429-6434
Number of pages	6
ISBN (Electronic)	9781538674628
DOIs	https://doi.org/10.1109/ICC45041.2023.10279816
Publication status	Published - 2023
Externally published	Yes
Event	2023 IEEE International Conference on Communications, ICC 2023 - Rome, Italy Duration: 28 May 2023 → 1 Jun 2023

Publication series

Name	IEEE International Conference on Communications
Volume	2023-May
ISSN (Print)	1550-3607

Conference

Conference	2023 IEEE International Conference on Communications, ICC 2023
Country/Territory	Italy
City	Rome
Period	28/05/23 → 1/06/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Funding

This work is supported in part by National Natural Science Foundation of China under Grant 62101232, and in part by the Guangdong Provincial Natural Science Foundation under Grant 2022A1515011257.

Keywords

delay-Doppler (DD) domain
Fractional delay and Doppler
OTFS
Radar sensing

Access to Document

10.1109/ICC45041.2023.10279816

Cite this

ZHANG, K., YUAN, W., LI, S., LIU, F., GAO, F., FAN, P., & CAI, Y. (2023). Radar Sensing via OTFS Signaling: A Delay Doppler Signal Processing Perspective. In M. ZORZI, M. TAO, & W. SAAD (Eds.), ICC 2023: IEEE International Conference on Communications: Sustainable Communications for Renaissance (pp. 6429-6434). (IEEE International Conference on Communications; Vol. 2023-May). IEEE. https://doi.org/10.1109/ICC45041.2023.10279816

@inproceedings{a0a046e0a5424e0cb352c3c45f8dc84a,

title = "Radar Sensing via OTFS Signaling: A Delay Doppler Signal Processing Perspective",

abstract = "The recently proposed orthogonal time frequency space (OTFS) modulation multiplexes data symbols in the delay-Doppler (DD) domain. Since the range and velocity, which can be derived from the delay and Doppler shifts, are the parameters of interest for radar sensing, it is natural to consider implementing DD signal processing for radar sensing. In this paper, we investigate the potential connections between the OTFS and DD domain radar signal processing. Our analysis shows that the range-Doppler matrix computing process in radar sensing is exactly the demodulation of OTFS with a rectangular pulse shaping filter. Furthermore, we propose a two-dimensional (2D) correlation-based algorithm to estimate the fractional delay and Doppler parameters for radar sensing. Simulation results show that the proposed algorithm can efficiently obtain the delay and Doppler shifts associated with multiple targets.",

keywords = "delay-Doppler (DD) domain, Fractional delay and Doppler, OTFS, Radar sensing",

author = "Kecheng ZHANG and Weijie YUAN and Shuangyang LI and Fan LIU and Feifei GAO and Pingzhi FAN and Yunlong CAI",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Communications, ICC 2023 ; Conference date: 28-05-2023 Through 01-06-2023",

year = "2023",

doi = "10.1109/ICC45041.2023.10279816",

language = "English",

series = "IEEE International Conference on Communications",

publisher = "IEEE",

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ZHANG, K, YUAN, W, LI, S, LIU, F, GAO, F, FAN, P & CAI, Y 2023, Radar Sensing via OTFS Signaling: A Delay Doppler Signal Processing Perspective. in M ZORZI, M TAO & W SAAD (eds), ICC 2023: IEEE International Conference on Communications: Sustainable Communications for Renaissance. IEEE International Conference on Communications, vol. 2023-May, IEEE, pp. 6429-6434, 2023 IEEE International Conference on Communications, ICC 2023, Rome, Italy, 28/05/23. https://doi.org/10.1109/ICC45041.2023.10279816

Radar Sensing via OTFS Signaling: A Delay Doppler Signal Processing Perspective. / ZHANG, Kecheng; YUAN, Weijie; LI, Shuangyang et al.
ICC 2023: IEEE International Conference on Communications: Sustainable Communications for Renaissance. ed. / Michele ZORZI; Meixia TAO; Walid SAAD. IEEE, 2023. p. 6429-6434 (IEEE International Conference on Communications; Vol. 2023-May).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

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T1 - Radar Sensing via OTFS Signaling: A Delay Doppler Signal Processing Perspective

AU - ZHANG, Kecheng

AU - YUAN, Weijie

AU - LI, Shuangyang

AU - LIU, Fan

AU - GAO, Feifei

AU - FAN, Pingzhi

AU - CAI, Yunlong

PY - 2023

Y1 - 2023

N2 - The recently proposed orthogonal time frequency space (OTFS) modulation multiplexes data symbols in the delay-Doppler (DD) domain. Since the range and velocity, which can be derived from the delay and Doppler shifts, are the parameters of interest for radar sensing, it is natural to consider implementing DD signal processing for radar sensing. In this paper, we investigate the potential connections between the OTFS and DD domain radar signal processing. Our analysis shows that the range-Doppler matrix computing process in radar sensing is exactly the demodulation of OTFS with a rectangular pulse shaping filter. Furthermore, we propose a two-dimensional (2D) correlation-based algorithm to estimate the fractional delay and Doppler parameters for radar sensing. Simulation results show that the proposed algorithm can efficiently obtain the delay and Doppler shifts associated with multiple targets.

AB - The recently proposed orthogonal time frequency space (OTFS) modulation multiplexes data symbols in the delay-Doppler (DD) domain. Since the range and velocity, which can be derived from the delay and Doppler shifts, are the parameters of interest for radar sensing, it is natural to consider implementing DD signal processing for radar sensing. In this paper, we investigate the potential connections between the OTFS and DD domain radar signal processing. Our analysis shows that the range-Doppler matrix computing process in radar sensing is exactly the demodulation of OTFS with a rectangular pulse shaping filter. Furthermore, we propose a two-dimensional (2D) correlation-based algorithm to estimate the fractional delay and Doppler parameters for radar sensing. Simulation results show that the proposed algorithm can efficiently obtain the delay and Doppler shifts associated with multiple targets.

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ER -

ZHANG K, YUAN W, LI S, LIU F, GAO F, FAN P et al. Radar Sensing via OTFS Signaling: A Delay Doppler Signal Processing Perspective. In ZORZI M, TAO M, SAAD W, editors, ICC 2023: IEEE International Conference on Communications: Sustainable Communications for Renaissance. IEEE. 2023. p. 6429-6434. (IEEE International Conference on Communications). Epub 2023 Oct 23. doi: 10.1109/ICC45041.2023.10279816

Radar Sensing via OTFS Signaling: A Delay Doppler Signal Processing Perspective

Abstract

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Bibliographical note

Funding

Keywords

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