Propagator Rooting Method Direction of Arrival Estimation Based on Real Data
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Tayem, Nizar, Hussain, Ahmed A, Veramareddy, Vinay Reddy, SOLIMAN, Abdel-Hamid and Alghazo, Jaafar M. (2021) Propagator Rooting Method Direction of Arrival Estimation Based on Real Data. In: MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM). Institute of Electrical and Electronics Engineers (IEEE), pp. 975-980.
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Abstract or description
In this paper, we present a novel and computationally efficient DOA estimation method that works equally well for both non-coherent and coherent sources. This method is based on applying the propagator method as a linear operator to the covariance matrix of the received data taken from a single snapshot of signals impinging on a uniform linear array. A Toeplitz Hermitian data matrix is constructed and transformed into a real-valued data matrix which significantly reduces computational complexity. The propagator method obviates the need to use either eigenvalue decomposition or singular value decomposition in calculating the DOA. Finally, the Root-MUSIC method is employed in conjunction with the proposed method to estimate the angles of arrivals from the received signal. Simulation results demonstrate the efficacy of the proposed 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: | complexity , coherent sources , propagator method Root-MUSIC , real-valued data , DOA estimation |
| Faculty: | School of Digital, Technologies and Arts > Engineering |
| Event Title: | MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM) |
| Event Location: | Online |
| Event Dates: | 29 November 2021 |
| Depositing User: | Abdel-Hamid SOLIMAN |
| Date Deposited: | 24 Nov 2023 14:55 |
| Last Modified: | 30 Dec 2023 01:38 |
| URI: | https://eprints.staffs.ac.uk/id/eprint/7585 |
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