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© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

This study proposes broadband direction (DOA) estimation through discrete Fourier transform (DFT) extrapolation. We used DFT extrapolation in the lower band and extended the sampled data to reduce the beam width in the spectral domain and improved the accuracy of the estimated DOA. The sampled data with a length of 12 were extrapolated to 36 by the addition of 12-element virtual arrays to 12 real arrays on both sides. The average RMSEs of the estimated DOAs were measured throughout the wide frequency band. To verify the validity of the proposed algorithm, we demonstrated that the RMSE obtained from the broadband DOA estimation for multiple signals of interest (SOIs) was reduced in the extrapolated array. It was demonstrated that the proposed algorithm can broaden the frequency band at which a fixed number of array can estimate the DOA accurately.

Details

Title
Broadband DOA Estimation by Exploiting DFT Extrapolation
Author
Shin, Euiho 1   VIAFID ORCID Logo  ; Young-seek, Chung 2 ; Kim, Seonkyo 3   VIAFID ORCID Logo  ; Park, Cheolsun 3 ; Oh, Jungsuek 1   VIAFID ORCID Logo 

 Institute of New Media and Communications, Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea 
 Department of Electronic Convergence Engineering, Kwangwoon University, Seoul 01897, Republic of Korea 
 Agency for Defense Development, Daejeon 34186, Republic of Korea 
First page
660
Publication year
2023
Publication date
2023
Publisher
MDPI AG
e-ISSN
20763417
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2761121959
Copyright
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.