Uplink Sensing with Unknown Transmitter Position in Clutter Environment via Tensor Decomposition

Yirui Luo; Yong Liang Guan; Erry Gunawan

doi:10.1109/VTC2023-Spring57618.2023.10200722

Uplink Sensing with Unknown Transmitter Position in Clutter Environment via Tensor Decomposition

Yirui Luo^*, Yong Liang Guan, Erry Gunawan

^*Corresponding author for this work

Nanyang Technological University

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

1 Citation (Scopus)

Abstract

To support emerging smart applications, joint communication and sensing (JCAS) integrates sensing into communications to save resources and provide a wider sensing service. Although there have been many works in this area, almost all of them are based on the sometimes impractical assumption that the position of the transmitter is known. In this paper, we propose a low-complexity multi-target-aided method for uplink MIMOOFDM sensing in a cluttered environment with an unknown transmitter's position. Specially, we form the signal received at the base station (BS) as a fourth-order tensor, and after clutter suppression, we adopt a low-rank CANDECOMP/PARAFAC (CP) decomposition to perform parameter estimations. Through theory analysis, our CP decomposition satisfies the condition of uniqueness. Simulation results show that the proposed method can achieve better normalized mean square error performance than the existing methods and even approach a similar performance with the ideal case benchmark.

Original language	English
Title of host publication	2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350311143
DOIs	https://doi.org/10.1109/VTC2023-Spring57618.2023.10200722
Publication status	Published - 2023
Externally published	Yes
Event	97th IEEE Vehicular Technology Conference, VTC 2023-Spring - Florence, Italy Duration: Jun 20 2023 → Jun 23 2023

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2023-June
ISSN (Print)	1550-2252

Conference

Conference	97th IEEE Vehicular Technology Conference, VTC 2023-Spring
Country/Territory	Italy
City	Florence
Period	6/20/23 → 6/23/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

ASJC Scopus Subject Areas

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Keywords

clutter suppression
CP decomposition
JCAS
MIMO-OFDM
uplink sensing

Access to Document

10.1109/VTC2023-Spring57618.2023.10200722

Cite this

Luo, Y., Guan, Y. L., & Gunawan, E. (2023). Uplink Sensing with Unknown Transmitter Position in Clutter Environment via Tensor Decomposition. In 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings (IEEE Vehicular Technology Conference; Vol. 2023-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTC2023-Spring57618.2023.10200722

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title = "Uplink Sensing with Unknown Transmitter Position in Clutter Environment via Tensor Decomposition",

abstract = "To support emerging smart applications, joint communication and sensing (JCAS) integrates sensing into communications to save resources and provide a wider sensing service. Although there have been many works in this area, almost all of them are based on the sometimes impractical assumption that the position of the transmitter is known. In this paper, we propose a low-complexity multi-target-aided method for uplink MIMOOFDM sensing in a cluttered environment with an unknown transmitter's position. Specially, we form the signal received at the base station (BS) as a fourth-order tensor, and after clutter suppression, we adopt a low-rank CANDECOMP/PARAFAC (CP) decomposition to perform parameter estimations. Through theory analysis, our CP decomposition satisfies the condition of uniqueness. Simulation results show that the proposed method can achieve better normalized mean square error performance than the existing methods and even approach a similar performance with the ideal case benchmark.",

keywords = "clutter suppression, CP decomposition, JCAS, MIMO-OFDM, uplink sensing",

author = "Yirui Luo and Guan, {Yong Liang} and Erry Gunawan",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 97th IEEE Vehicular Technology Conference, VTC 2023-Spring ; Conference date: 20-06-2023 Through 23-06-2023",

year = "2023",

doi = "10.1109/VTC2023-Spring57618.2023.10200722",

language = "English",

series = "IEEE Vehicular Technology Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings",

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}

Luo, Y, Guan, YL & Gunawan, E 2023, Uplink Sensing with Unknown Transmitter Position in Clutter Environment via Tensor Decomposition. in 2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings. IEEE Vehicular Technology Conference, vol. 2023-June, Institute of Electrical and Electronics Engineers Inc., 97th IEEE Vehicular Technology Conference, VTC 2023-Spring, Florence, Italy, 6/20/23. https://doi.org/10.1109/VTC2023-Spring57618.2023.10200722

Uplink Sensing with Unknown Transmitter Position in Clutter Environment via Tensor Decomposition. / Luo, Yirui; Guan, Yong Liang; Gunawan, Erry.
2023 IEEE 97th Vehicular Technology Conference, VTC 2023-Spring - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (IEEE Vehicular Technology Conference; Vol. 2023-June).

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

TY - GEN

T1 - Uplink Sensing with Unknown Transmitter Position in Clutter Environment via Tensor Decomposition

AU - Luo, Yirui

AU - Guan, Yong Liang

AU - Gunawan, Erry

PY - 2023

Y1 - 2023

N2 - To support emerging smart applications, joint communication and sensing (JCAS) integrates sensing into communications to save resources and provide a wider sensing service. Although there have been many works in this area, almost all of them are based on the sometimes impractical assumption that the position of the transmitter is known. In this paper, we propose a low-complexity multi-target-aided method for uplink MIMOOFDM sensing in a cluttered environment with an unknown transmitter's position. Specially, we form the signal received at the base station (BS) as a fourth-order tensor, and after clutter suppression, we adopt a low-rank CANDECOMP/PARAFAC (CP) decomposition to perform parameter estimations. Through theory analysis, our CP decomposition satisfies the condition of uniqueness. Simulation results show that the proposed method can achieve better normalized mean square error performance than the existing methods and even approach a similar performance with the ideal case benchmark.

AB - To support emerging smart applications, joint communication and sensing (JCAS) integrates sensing into communications to save resources and provide a wider sensing service. Although there have been many works in this area, almost all of them are based on the sometimes impractical assumption that the position of the transmitter is known. In this paper, we propose a low-complexity multi-target-aided method for uplink MIMOOFDM sensing in a cluttered environment with an unknown transmitter's position. Specially, we form the signal received at the base station (BS) as a fourth-order tensor, and after clutter suppression, we adopt a low-rank CANDECOMP/PARAFAC (CP) decomposition to perform parameter estimations. Through theory analysis, our CP decomposition satisfies the condition of uniqueness. Simulation results show that the proposed method can achieve better normalized mean square error performance than the existing methods and even approach a similar performance with the ideal case benchmark.

KW - clutter suppression

KW - CP decomposition

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KW - MIMO-OFDM

KW - uplink sensing

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ER -

Uplink Sensing with Unknown Transmitter Position in Clutter Environment via Tensor Decomposition

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

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