Integrated Sensing and Communication for UAV-Borne SAR Systems

Ziyi LIU*, Zesong FEI*, Peng LIU, Xinyi WANG*, Zhong ZHENG*, Dongkai ZHOU*, Weijie YUAN

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

1 Citation (Scopus)

Abstract

Integrated Sensing and Communications (ISAC) is gradually becoming one of the key technologies in B5G/6G systems. Compared with conventional ground cellular systems, unmanned aerial vehicles (UAVs), thanks to their controllable trajectory, have been viewed as a promising technique to provide flexible communication services and synthetic aperture radar (SAR) based sensing. This paper investigates the trajectory optimization for UAVs simultaneously functioning as SAR and communication nodes, aiming to minimize the propulsion power under the communication and sensing objectives. To solve the non-convex problem, we propose a trajectory planning algorithm, wherein the successive convex approximation and block coordinate descent methods are employed to convexify the problem. Simulation results reveal that the proposed trajectory planning algorithm reduces power consumption by 50%, compared to the shortest trajectory scheme.

Original languageEnglish
Title of host publication22nd International Symposium on Communications and Information Technologies, ISCIT 2023
PublisherIEEE
Pages173-178
Number of pages6
ISBN (Electronic)9781665457316
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event22nd International Symposium on Communications and Information Technologies, ISCIT 2023 - Sydney, Australia
Duration: 16 Oct 202318 Oct 2023

Publication series

Name22nd International Symposium on Communications and Information Technologies, ISCIT 2023

Conference

Conference22nd International Symposium on Communications and Information Technologies, ISCIT 2023
Country/TerritoryAustralia
CitySydney
Period16/10/2318/10/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Funding

This work was supported in part by National Natural Science Foundation of China under Grant U20B2039 and in part by China Postdoctoral Science Foundation under Grant No. 2023M730267 and No. 2023TQ0028.

Keywords

  • Integrated sensing and communication
  • synthetic aperture radar (SAR)
  • trajectory design
  • unmanned aerial vehicle (UAV)

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