Computationally Efficient Forward/backward Averaged DOA Estimation of Coherent Sources in Pairs

Hussain, Ahmed A, Tayem, Nizar and SOLIMAN, Abdel-Hamid (2021) Computationally Efficient Forward/backward Averaged DOA Estimation of Coherent Sources in Pairs. In: 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall). Institute of Electrical and Electronics Engineers (IEEE), pp. 1-7.

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Abstract or description

DOA estimation of signal sources in multipath environments is a computationally complex problem. In this paper, authors present a computationally efficient DOA estimation algorithm effective against highly correlated or fully coherent sources in pairs. The proposed method is novel in that it applies forward/backward averaging to the signal subspace to de-correlate the signals, unlike existing methods that apply spatial smoothing techniques to the correlation matrix. This significantly reduces the computational complexity and computation time of the algorithm and improves the estimation accuracy making the proposed method amenable to practical hardware implementation. Simulation results are presented to validate the efficacy of the proposed method and a performance comparison is made with Root-MUSIC method.

Item Type:	Book Chapter, Section or Conference Proceeding
Additional Information:	© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords:	coherent sources , forwardlbackward averaging , DOA estimation , computational complexity , computation time
Faculty:	School of Digital, Technologies and Arts > Engineering
Event Title:	2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)
Event Location:	Online
Event Dates:	27-30 September 2021
Depositing User:	Abdel-Hamid SOLIMAN
Date Deposited:	24 Nov 2023 14:56
Last Modified:	10 Dec 2023 01:38
URI:	https://eprints.staffs.ac.uk/id/eprint/7587

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