Beamforming Optimization Based on Kalman Filter for Vehicle in Constrained Route

Shaowei, D., Abbasi, Q. H. , Li, M. and Imran, M. (2019) Beamforming Optimization Based on Kalman Filter for Vehicle in Constrained Route. In: 2019 IEEE Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Atlanta, GA, USA, 07-12 Jul 2019, pp. 1365-1366. ISBN 9781728106922 (doi:10.1109/APUSNCURSINRSM.2019.8888482)

[img]
Preview
Text
181145.pdf - Accepted Version

370kB

Abstract

By analyzing a simplified model for vehicles in a constrained route like High Speed Railway (HSR), it is found that when the distance between transmitter and route is short, the Direction of Arrival (DOA) changing speed is not a negligible effect. A Kalman Filter based solution is then proposed to fuse the vehicle speed sensor and DOA estimation. By using the filtered angle from Kalman filter, power loss due to angle mismatch could be reduced by more than 4dB for 4 elements antenna beamformer in the simulated scenario.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad and Li, Dr David and Abbasi, Dr Qammer and Dai, ShaoWei
Authors: Shaowei, D., Abbasi, Q. H., Li, M., and Imran, M.
College/School:College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
ISSN:1947-1491
ISBN:9781728106922
Copyright Holders:Copyright © 2019 IEEE
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher
Related URLs:

University Staff: Request a correction | Enlighten Editors: Update this record