Sparse Array Design for Joint Communication Radar System via Antenna Selection

Jing Xu; Xiangrong Wang; Xingshuai Qiao; Abdelhak M. Zoubir

doi:10.1109/ISSCS58449.2023.10190916

Sparse Array Design for Joint Communication Radar System via Antenna Selection

Jing Xu^*
, Xiangrong Wang^*
, Xingshuai Qiao
, Abdelhak M. Zoubir

^*Corresponding author for this work

School of Electronic and Information Engineering

Beihang University
Beijing University of Posts and Telecommunications
Technische Universität Darmstadt

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

2 Scopus citations

Abstract

This work investigates the design of sparse transmit arrays via antenna selection for joint communication radar (JCR) systems. Antenna selection is performed in terms of optimizing the ambiguity function of the transmit signal for radar detection and guaranteeing the communication quality of service. The optimization problem is formulated with respect to a boolean vector, that is used to denote the antenna selection directly without any approximation. To address the non-convex combinational optimization problem, zero-forcing beamforming is applied, and subsequently an alternative optimization method with a genetic algorithm incorporated is proposed. Simulation results validate the superiority of the proposed JCR system with the sparse transmit array and demonstrate its better performance compared with other sparse array design.

Original language	English
Title of host publication	2023 International Symposium on Signals, Circuits and Systems, ISSCS 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350342031
DOIs	https://doi.org/10.1109/ISSCS58449.2023.10190916
State	Published - 2023
Event	2023 International Symposium on Signals, Circuits and Systems, ISSCS 2023 - Iasi, Romania Duration: 13 Jul 2023 → 14 Jul 2023

Publication series

Name	2023 International Symposium on Signals, Circuits and Systems, ISSCS 2023

Conference

Conference	2023 International Symposium on Signals, Circuits and Systems, ISSCS 2023
Country/Territory	Romania
City	Iasi
Period	13/07/23 → 14/07/23

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10.1109/ISSCS58449.2023.10190916

Cite this

Xu, J., Wang, X., Qiao, X., & Zoubir, A. M. (2023). Sparse Array Design for Joint Communication Radar System via Antenna Selection. In 2023 International Symposium on Signals, Circuits and Systems, ISSCS 2023 (2023 International Symposium on Signals, Circuits and Systems, ISSCS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISSCS58449.2023.10190916

@inproceedings{8411f1b7da954f38a9dab96d044d9e7c,

title = "Sparse Array Design for Joint Communication Radar System via Antenna Selection",

abstract = "This work investigates the design of sparse transmit arrays via antenna selection for joint communication radar (JCR) systems. Antenna selection is performed in terms of optimizing the ambiguity function of the transmit signal for radar detection and guaranteeing the communication quality of service. The optimization problem is formulated with respect to a boolean vector, that is used to denote the antenna selection directly without any approximation. To address the non-convex combinational optimization problem, zero-forcing beamforming is applied, and subsequently an alternative optimization method with a genetic algorithm incorporated is proposed. Simulation results validate the superiority of the proposed JCR system with the sparse transmit array and demonstrate its better performance compared with other sparse array design.",

author = "Jing Xu and Xiangrong Wang and Xingshuai Qiao and Zoubir, \{Abdelhak M.\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Symposium on Signals, Circuits and Systems, ISSCS 2023 ; Conference date: 13-07-2023 Through 14-07-2023",

year = "2023",

doi = "10.1109/ISSCS58449.2023.10190916",

language = "英语",

series = "2023 International Symposium on Signals, Circuits and Systems, ISSCS 2023",

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

booktitle = "2023 International Symposium on Signals, Circuits and Systems, ISSCS 2023",

address = "美国",

}

Xu, J, Wang, X, Qiao, X & Zoubir, AM 2023, Sparse Array Design for Joint Communication Radar System via Antenna Selection. in 2023 International Symposium on Signals, Circuits and Systems, ISSCS 2023. 2023 International Symposium on Signals, Circuits and Systems, ISSCS 2023, Institute of Electrical and Electronics Engineers Inc., 2023 International Symposium on Signals, Circuits and Systems, ISSCS 2023, Iasi, Romania, 13/07/23. https://doi.org/10.1109/ISSCS58449.2023.10190916

Sparse Array Design for Joint Communication Radar System via Antenna Selection. / Xu, Jing; Wang, Xiangrong; Qiao, Xingshuai et al.
2023 International Symposium on Signals, Circuits and Systems, ISSCS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 International Symposium on Signals, Circuits and Systems, ISSCS 2023).

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

TY - GEN

T1 - Sparse Array Design for Joint Communication Radar System via Antenna Selection

AU - Xu, Jing

AU - Wang, Xiangrong

AU - Qiao, Xingshuai

AU - Zoubir, Abdelhak M.

PY - 2023

Y1 - 2023

N2 - This work investigates the design of sparse transmit arrays via antenna selection for joint communication radar (JCR) systems. Antenna selection is performed in terms of optimizing the ambiguity function of the transmit signal for radar detection and guaranteeing the communication quality of service. The optimization problem is formulated with respect to a boolean vector, that is used to denote the antenna selection directly without any approximation. To address the non-convex combinational optimization problem, zero-forcing beamforming is applied, and subsequently an alternative optimization method with a genetic algorithm incorporated is proposed. Simulation results validate the superiority of the proposed JCR system with the sparse transmit array and demonstrate its better performance compared with other sparse array design.

AB - This work investigates the design of sparse transmit arrays via antenna selection for joint communication radar (JCR) systems. Antenna selection is performed in terms of optimizing the ambiguity function of the transmit signal for radar detection and guaranteeing the communication quality of service. The optimization problem is formulated with respect to a boolean vector, that is used to denote the antenna selection directly without any approximation. To address the non-convex combinational optimization problem, zero-forcing beamforming is applied, and subsequently an alternative optimization method with a genetic algorithm incorporated is proposed. Simulation results validate the superiority of the proposed JCR system with the sparse transmit array and demonstrate its better performance compared with other sparse array design.

UR - https://www.scopus.com/pages/publications/85168412121

U2 - 10.1109/ISSCS58449.2023.10190916

DO - 10.1109/ISSCS58449.2023.10190916

M3 - 会议稿件

AN - SCOPUS:85168412121

T3 - 2023 International Symposium on Signals, Circuits and Systems, ISSCS 2023

BT - 2023 International Symposium on Signals, Circuits and Systems, ISSCS 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 International Symposium on Signals, Circuits and Systems, ISSCS 2023

Y2 - 13 July 2023 through 14 July 2023

ER -

Sparse Array Design for Joint Communication Radar System via Antenna Selection

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