Direction of Arrival Estimation Using Hybrid Spatial Cross-Cumulants and Root-MUSIC

Muhammad, M., Li, M., Abbasi, Q. H. , Goh, C. and Imran, M. (2020) Direction of Arrival Estimation Using Hybrid Spatial Cross-Cumulants and Root-MUSIC. In: 2020 14th European Conference on Antennas and Propagation (EuCAP), Copenhagen, Denmark, 15-20 Mar 2020, ISBN 9788831299008 (doi: 10.23919/EuCAP48036.2020.9135813)

Abstract

This paper presents a novel Direction of Arrival (DOA) estimation technique called Cross Cumulant-MUSIC (CC-MUSIC) which jointly employs higher order cumulant statistics and the root-MUSIC algorithm to perform high-resolution DOA estimation in low Signal-to-Noise Ratio (SNR) scenarios. From the simulation results based out of a 4 element uniform linear array and a far-field narrowband signal source, CC-MUSIC outperforms second-order DOA estimation techniques such as root-MUSIC and ESPRIT with a minimum average of10.99% to 46.33% depending on the snapshot values at SNR of <15dB for a single signal source scenario and 39.1% to 83.8% for a multi-signal source scenario respectively when contaminated with an Additive White Gaussian Noise (AWGN). The work presented here has implications of future studies for optimization and real-world application where SNR environment is noisy while requiring accurate DOA estimation.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Abbasi, Dr Qammer and Imran, Professor Muhammad and Bin Muhammad, Murdifi and Goh, Dr Cindy Sf and Li, Dr David
• Authors: Muhammad, M., Li, M., Abbasi, Q. H., Goh, C., and Imran, M.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• ISBN: 9788831299008
• Published Online: 08 July 2020
• Copyright Holders: Copyright © 2020 IEEE
• First Published: First published in 2020 14th European Conference on Antennas and Propagation (EuCAP)
• Publisher Policy: Reproduced in accordance with the publisher copyright policy