SENSING-ASSISTED BEAM TRACKING IN V2I NETWORKS: EXTENDED TARGET CASE

Du，Zhen1,2; Liu，Fan2; Zhang，Zenghui1

10.1109/ICASSP43922.2022.9747255

2022

47th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

1520-6149

978-1-6654-0541-6

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

2022-May

8727-8731

23-27 May 2022

Singapore, Singapore

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

A sensing-assisted predictive beamforming scheme for vehicle-to-infrastructure (V2I) communication is considered, which is built upon massive multi-input-multi-output (mMIMO) and millimeter wave (mmWave) techniques. In practical V2I networks, vehicles cannot be modeled as point targets in terms of the narrow beamwidth and high range resolution. Accordingly, the communication receiver (CR) may be beyond the beam even the vehicle is accurately tracked, which makes robust beam alignment and tracking challenging. We thus consider the extended target case, in which the beamwidth should be adjusted in real-time to cover the entire vehicle. Then an extended Kalman filtering (EKF) is presented to track the CR according to the resolved high-resolution geometry results. Finally, numerical results are provided to validate the effectiveness of the proposed approach.

Beam tracking EKF ISAC mmWave

通讯

英语

EI ; CPCI-S

Acoustics ; Computer Science ; Engineering

Acoustics ; Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic

WOS:000864187909008

20222312199089

2-s2.0-85131244572

Scopus

1.Shanghai Jiao Tong University,Shanghai,200240,China
2.Southern University of Science and Technology,Shenzhen,518055,China

Du，Zhen,Liu，Fan,Zhang，Zenghui. SENSING-ASSISTED BEAM TRACKING IN V2I NETWORKS: EXTENDED TARGET CASE[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2022:8727-8731.