Fast DOA estimation in the spectral domain and its applications
This paper presents a direction of arrival (DOA) estimation method. Spectral-domain interferometer equation is first established based on integral transforms of spatial interferometer equations. The direction finding problem in the spatial domain is thereby mapped to that in the spectral domain, rel...
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sg-ntu-dr.10356-891382020-04-22T08:23:34Z Fast DOA estimation in the spectral domain and its applications Zuo, Le Pan, Jin Ma, Boyuan School of Electrical and Electronic Engineering Asian Media Information and Communication Centre DRNTU::Engineering::Electrical and electronic engineering Accuracy Enhancement Direction Of Arrivalestimation(DOA) This paper presents a direction of arrival (DOA) estimation method. Spectral-domain interferometer equation is first established based on integral transforms of spatial interferometer equations. The direction finding problem in the spatial domain is thereby mapped to that in the spectral domain, relating angular parameters to spatial spectrums. This method is then applied to DOA estimation with circular arrays and spherical arrays. As a result, the elevation angle and azimuth angle are decoupled, giving closed-form and analytical formulae for DOA estimations by discrete phase samples on a sampling aperture. Algebraic relations between angular parameters and phase samples are established, and this method is hence computationally efficient. The Cramer-Rao lower bound (CRLB) of the proposed method is derived, and accuracy analysis demonstrates that the proposed method approaches the CRLB. In addition, mathematical insights into accuracy enhancement by large number of samples are observed via Parseval’s theorem. Finally, numerical simulations and experimental measurements are provided to verify the effectiveness and appealing performance of the proposed method. Published version 2018-10-02T08:20:02Z 2019-12-06T17:18:43Z 2018-10-02T08:20:02Z 2019-12-06T17:18:43Z 2018 Journal Article Zuo, L., Pan, J., & Ma, B. (2018). Fast DOA estimation in the spectral domain and its applications. Progress In Electromagnetics Research, 66, 73-85. doi:10.2528/PIERM18011102 https://hdl.handle.net/10356/89138 http://hdl.handle.net/10220/46183 10.2528/PIERM18011102 en Progress In Electromagnetics Research © 2018 EMW Publishing. This paper was published in Progress in Electromagnetics Research M and is made available as an electronic reprint (preprint) with permission of EMW Publishing. The published version is available at: [dx.doi.org/10.2528/PIERM18011102]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 13 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Accuracy Enhancement Direction Of Arrivalestimation(DOA) Zuo, Le Pan, Jin Ma, Boyuan Fast DOA estimation in the spectral domain and its applications |
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This paper presents a direction of arrival (DOA) estimation method. Spectral-domain interferometer equation is first established based on integral transforms of spatial interferometer equations. The direction finding problem in the spatial domain is thereby mapped to that in the spectral domain, relating angular parameters to spatial spectrums. This method is then applied to DOA estimation with circular arrays and spherical arrays. As a result, the elevation angle and azimuth angle are decoupled, giving closed-form and analytical formulae for DOA estimations by discrete phase samples on a sampling aperture. Algebraic relations between angular parameters and phase samples are established, and this method is hence computationally efficient. The Cramer-Rao lower bound (CRLB) of the proposed method is derived, and accuracy analysis demonstrates that the proposed method approaches the CRLB. In addition, mathematical insights into accuracy enhancement by large number of samples are observed via Parseval’s theorem. Finally, numerical simulations and experimental measurements are provided to verify the effectiveness and appealing performance of the proposed method. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Zuo, Le Pan, Jin Ma, Boyuan |
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Article |
author |
Zuo, Le Pan, Jin Ma, Boyuan |
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Zuo, Le |
title |
Fast DOA estimation in the spectral domain and its applications |
title_short |
Fast DOA estimation in the spectral domain and its applications |
title_full |
Fast DOA estimation in the spectral domain and its applications |
title_fullStr |
Fast DOA estimation in the spectral domain and its applications |
title_full_unstemmed |
Fast DOA estimation in the spectral domain and its applications |
title_sort |
fast doa estimation in the spectral domain and its applications |
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2018 |
url |
https://hdl.handle.net/10356/89138 http://hdl.handle.net/10220/46183 |
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1681057233388961792 |