UAV-Based Target Tracking: Integrating Sensing into Communication Signals

Jun Wu1; Weijie Yuan1; Fan Liu1; Yuanhao Cui2; Xiao Meng3; Hongjia Huang1

10.1109/ICCCWorkshops55477.2022.9896671

2022

2474-9133

978-1-6654-5978-5

2022 IEEE/CIC International Conference on Communications in China (ICCC Workshops)

309-313

11-13 Aug. 2022

Sanshui, Foshan, China

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.

extended Kalman filtering integrated sensing and communication UAV trajectory tracking

第一

IEEE

1.Southern University of Science and Technology, Shenzhen, China
2.Beijing University of Posts and Telecommunications, Beijing, China
3.Beijing Institute of Technology, Beijing, China

Jun Wu,Weijie Yuan,Fan Liu,et al. UAV-Based Target Tracking: Integrating Sensing into Communication Signals[C],2022:309-313.