Beamforming optimization based on kalman filter for vehicle in constrained route

Shaowei Dai; Qammer H. Abbasi; Minghui Li; Muhammad Imran

doi:10.1109/APUSNCURSINRSM.2019.8888482

Beamforming optimization based on kalman filter for vehicle in constrained route

Shaowei Dai
, Qammer H. Abbasi
, Minghui Li
, Muhammad Imran

University of Glasgow

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

By analyzing a simplified model for vechicles 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.

Original language	English
Title of host publication	2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1365-1366
Number of pages	2
ISBN (Electronic)	9781728106922
DOIs	https://doi.org/10.1109/APUSNCURSINRSM.2019.8888482
State	Published - Jul 2019
Externally published	Yes
Event	2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Atlanta, United States Duration: 7 Jul 2019 → 12 Jul 2019

Publication series

Name	2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings

Conference

Conference	2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019
Country/Territory	United States
City	Atlanta
Period	7/07/19 → 12/07/19

Access to Document

10.1109/APUSNCURSINRSM.2019.8888482

Cite this

Dai, S., Abbasi, Q. H., Li, M., & Imran, M. (2019). Beamforming optimization based on kalman filter for vehicle in constrained route. In 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings (pp. 1365-1366). Article 8888482 (2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APUSNCURSINRSM.2019.8888482

Dai, Shaowei ; Abbasi, Qammer H. ; Li, Minghui et al. / Beamforming optimization based on kalman filter for vehicle in constrained route. 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 1365-1366 (2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings).

@inproceedings{6be8d1d0dbf243c2b368a9a588e270f7,

title = "Beamforming optimization based on kalman filter for vehicle in constrained route",

abstract = "By analyzing a simplified model for vechicles 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.",

author = "Shaowei Dai and Abbasi, \{Qammer H.\} and Minghui Li and Muhammad Imran",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 ; Conference date: 07-07-2019 Through 12-07-2019",

year = "2019",

month = jul,

doi = "10.1109/APUSNCURSINRSM.2019.8888482",

language = "English",

series = "2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1365--1366",

booktitle = "2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings",

address = "United States",

}

Dai, S, Abbasi, QH, Li, M & Imran, M 2019, Beamforming optimization based on kalman filter for vehicle in constrained route. in 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings., 8888482, 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1365-1366, 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019, Atlanta, United States, 7/07/19. https://doi.org/10.1109/APUSNCURSINRSM.2019.8888482

Beamforming optimization based on kalman filter for vehicle in constrained route. / Dai, Shaowei; Abbasi, Qammer H.; Li, Minghui et al.
2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1365-1366 8888482 (2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Beamforming optimization based on kalman filter for vehicle in constrained route

AU - Dai, Shaowei

AU - Abbasi, Qammer H.

AU - Li, Minghui

AU - Imran, Muhammad

PY - 2019/7

Y1 - 2019/7

N2 - By analyzing a simplified model for vechicles 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.

AB - By analyzing a simplified model for vechicles 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.

UR - https://www.scopus.com/pages/publications/85075255775

U2 - 10.1109/APUSNCURSINRSM.2019.8888482

DO - 10.1109/APUSNCURSINRSM.2019.8888482

M3 - Conference contribution

AN - SCOPUS:85075255775

T3 - 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings

SP - 1365

EP - 1366

BT - 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019

Y2 - 7 July 2019 through 12 July 2019

ER -

Dai S, Abbasi QH, Li M, Imran M. Beamforming optimization based on kalman filter for vehicle in constrained route. In 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1365-1366. 8888482. (2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 - Proceedings). doi: 10.1109/APUSNCURSINRSM.2019.8888482

Beamforming optimization based on kalman filter for vehicle in constrained route

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