Direction of Arrival Estimation Using Root-Transformation Matrix Technique

Muhammad, M., Li, M., Abbasi, Q. , Goh, C. and Imran, M. (2019) Direction of Arrival Estimation Using Root-Transformation Matrix Technique. In: 2019 IEEE Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Atlanta, GA, USA, 07-12 Jul 2019, ISBN 9781728106922 (doi: 10.1109/APUSNCURSINRSM.2019.8889249)

[img]
Preview
Text
181144.pdf - Accepted Version

238kB

Abstract

This paper presents a preliminary study of a novel polynomial-solving Direction of Arrival (DOA) estimator called Root-Transformation Matrix (root-T) technique which includes an investigation of its performance against current DOA algorithms such as root-MUSIC and improved-MUSIC. The main objective of this work is to conserve the performance of improved-MUSIC which achieves high DOA estimation accuracy and resolution while reducing the cost of computational complexity. It's shown that the Root-T performs better in low SNR with performance improvement of 86.7% and with closely-spaced signal condition with performance improvement of 96.8% as compared to root-MUSIC without degrading improved-MUSIC performance while reducing mean computational time by 49.5%.

Item Type:Conference Proceedings
Additional Information:The authors would like to acknowledge and express appreciation to the Singapore Economic Development Board (EDB) and RFNet Technologies Pte Ltd for financing and providing a good environment and facilities to support the project.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Goh, Dr Cindy Sf and Imran, Professor Muhammad and Li, Dr David and Abbasi, Professor Qammer and Bin Muhammad, Murdifi
Authors: Muhammad, M., Li, M., Abbasi, Q., Goh, C., 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
First Published:Published in: 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting
Publisher Policy:Reproduced in accordance with the publisher copyright policy
Related URLs:

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