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)

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: Abbasi, Professor Qammer and Imran, Professor Muhammad and Dai, ShaoWei and Li, Dr David
• 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

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