UAV-Based Target Tracking: Integrating Sensing into Communication Signals

Jun WU; Weijie YUAN; Fan LIU; Yuanhao CUI; Xiao MENG; Hongjia HUANG

doi:10.1109/ICCCWorkshops55477.2022.9896671

UAV-Based Target Tracking: Integrating Sensing into Communication Signals

Jun WU^*, Weijie YUAN^*, Fan LIU^*, Yuanhao CUI, Xiao MENG, Hongjia HUANG^*

^*Corresponding author for this work

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

16 Citations (Scopus)

Abstract

Due to the high mobility and deployment on-demand, unmanned aerial vehicle (UAV) is becoming more popular in future wireless communications as well as sensing systems. In this paper, we study a UAV-enabled network for the ground user tracking, which can be regarded as a 'free lunch' as the purpose of UAV s is to carry out some specific communications tasks. Relying on the integrated sensing and communication (ISAC) technology, the UAVs are capable of extracting the time-delay and Doppler measurements. In particular, to exploit the temporal correlation of the user location for accurate tracking, we propose an extended Kalman filtering (EKF)-based framework. Moreover, we utilize the geometrical relationship of multiple measurements to estimate the velocity, which can overcome high error velocity estimation by single base station (BS). Numerical results show that with the aid of UAV ISAC signals, our proposed algorithm significantly outperforms the benchmark scheme using a single BS for target tracking.

Original language	English
Title of host publication	2022 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2022
Publisher	IEEE
Pages	309-313
Number of pages	5
ISBN (Electronic)	9781665459778
ISBN (Print)	9781665459785
DOIs	https://doi.org/10.1109/ICCCWorkshops55477.2022.9896671
Publication status	Published - 4 Oct 2022
Externally published	Yes
Event	2022 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2022 - Sanshui, Foshan, China Duration: 11 Aug 2022 → 13 Aug 2022

Conference

Conference	2022 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2022
Country/Territory	China
City	Sanshui, Foshan
Period	11/08/22 → 13/08/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Funding

This work is supported by the National Natural Science Foundation of China under Project 62101232, by the Natural Science Foundation of Guangdong Province under Grant 2022A1515011257, and by Special Funds for the Cultivation of Guangdong College Students' Scientific and Technological Innovation ("Climbing Program" Special Funds) under Grant PDJH2022C0026.

Keywords

extended Kalman filtering
integrated sensing and communication
tracking
UAV trajectory

Access to Document

10.1109/ICCCWorkshops55477.2022.9896671

Cite this

@inproceedings{7b1713bb120d44ceb6064d35b4d96ab3,

title = "UAV-Based Target Tracking: Integrating Sensing into Communication Signals",

abstract = "Due to the high mobility and deployment on-demand, unmanned aerial vehicle (UAV) is becoming more popular in future wireless communications as well as sensing systems. In this paper, we study a UAV-enabled network for the ground user tracking, which can be regarded as a 'free lunch' as the purpose of UAV s is to carry out some specific communications tasks. Relying on the integrated sensing and communication (ISAC) technology, the UAVs are capable of extracting the time-delay and Doppler measurements. In particular, to exploit the temporal correlation of the user location for accurate tracking, we propose an extended Kalman filtering (EKF)-based framework. Moreover, we utilize the geometrical relationship of multiple measurements to estimate the velocity, which can overcome high error velocity estimation by single base station (BS). Numerical results show that with the aid of UAV ISAC signals, our proposed algorithm significantly outperforms the benchmark scheme using a single BS for target tracking.",

keywords = "extended Kalman filtering, integrated sensing and communication, tracking, UAV trajectory",

author = "Jun WU and Weijie YUAN and Fan LIU and Yuanhao CUI and Xiao MENG and Hongjia HUANG",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2022 ; Conference date: 11-08-2022 Through 13-08-2022",

year = "2022",

month = oct,

day = "4",

doi = "10.1109/ICCCWorkshops55477.2022.9896671",

language = "English",

isbn = "9781665459785",

pages = "309--313",

booktitle = "2022 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2022",

publisher = "IEEE",

}

WU, J, YUAN, W, LIU, F, CUI, Y, MENG, X & HUANG, H 2022, UAV-Based Target Tracking: Integrating Sensing into Communication Signals. in 2022 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2022. IEEE, pp. 309-313, 2022 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2022, Sanshui, Foshan, China, 11/08/22. https://doi.org/10.1109/ICCCWorkshops55477.2022.9896671

TY - GEN

T1 - UAV-Based Target Tracking: Integrating Sensing into Communication Signals

AU - WU, Jun

AU - YUAN, Weijie

AU - LIU, Fan

AU - CUI, Yuanhao

AU - MENG, Xiao

AU - HUANG, Hongjia

PY - 2022/10/4

Y1 - 2022/10/4

N2 - Due to the high mobility and deployment on-demand, unmanned aerial vehicle (UAV) is becoming more popular in future wireless communications as well as sensing systems. In this paper, we study a UAV-enabled network for the ground user tracking, which can be regarded as a 'free lunch' as the purpose of UAV s is to carry out some specific communications tasks. Relying on the integrated sensing and communication (ISAC) technology, the UAVs are capable of extracting the time-delay and Doppler measurements. In particular, to exploit the temporal correlation of the user location for accurate tracking, we propose an extended Kalman filtering (EKF)-based framework. Moreover, we utilize the geometrical relationship of multiple measurements to estimate the velocity, which can overcome high error velocity estimation by single base station (BS). Numerical results show that with the aid of UAV ISAC signals, our proposed algorithm significantly outperforms the benchmark scheme using a single BS for target tracking.

AB - Due to the high mobility and deployment on-demand, unmanned aerial vehicle (UAV) is becoming more popular in future wireless communications as well as sensing systems. In this paper, we study a UAV-enabled network for the ground user tracking, which can be regarded as a 'free lunch' as the purpose of UAV s is to carry out some specific communications tasks. Relying on the integrated sensing and communication (ISAC) technology, the UAVs are capable of extracting the time-delay and Doppler measurements. In particular, to exploit the temporal correlation of the user location for accurate tracking, we propose an extended Kalman filtering (EKF)-based framework. Moreover, we utilize the geometrical relationship of multiple measurements to estimate the velocity, which can overcome high error velocity estimation by single base station (BS). Numerical results show that with the aid of UAV ISAC signals, our proposed algorithm significantly outperforms the benchmark scheme using a single BS for target tracking.

KW - extended Kalman filtering

KW - integrated sensing and communication

KW - tracking

KW - UAV trajectory

UR - http://www.scopus.com/inward/record.url?scp=85141144258&partnerID=8YFLogxK

U2 - 10.1109/ICCCWorkshops55477.2022.9896671

DO - 10.1109/ICCCWorkshops55477.2022.9896671

M3 - Conference paper (refereed)

AN - SCOPUS:85141144258

SN - 9781665459785

SP - 309

EP - 313

BT - 2022 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2022

PB - IEEE

T2 - 2022 IEEE/CIC International Conference on Communications in China, ICCC Workshops 2022

Y2 - 11 August 2022 through 13 August 2022

ER -

UAV-Based Target Tracking: Integrating Sensing into Communication Signals

Abstract

Conference

Bibliographical note

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Cite this