Derivative-constrained frequency-domain wideband DOA estimation
In this paper, we present a new approach for wideband direction of arrival (DOA) estimation incorporating derivative constraints into the optimization problem. The Taylor series expansion of steering vector with respect to frequency exhibits the dependence of sensor snapshots on the derivatives of t...
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sg-ntu-dr.10356-1017112020-03-07T14:00:33Z Derivative-constrained frequency-domain wideband DOA estimation Reddy, Vinod Veera Ng, B. P. Khong, Andy Wai Hoong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering In this paper, we present a new approach for wideband direction of arrival (DOA) estimation incorporating derivative constraints into the optimization problem. The Taylor series expansion of steering vector with respect to frequency exhibits the dependence of sensor snapshots on the derivatives of the array manifold matrix, suppression of which reduces the data to follow the narrowband data model. Two new formulations following a beamformer framework are developed based on this observation. While the first formulation estimates accurate source directions with apriori knowledge of the signal subspace dimension, the second formulation provides DOA estimates without estimating the number of sources. The coherent averaging at the reference frequency enables the two formulations to handle coherent sources. The effectiveness of the proposed formulations is illustrated with simulations. 2013-07-10T08:15:38Z 2019-12-06T20:43:09Z 2013-07-10T08:15:38Z 2019-12-06T20:43:09Z 2012 2012 Journal Article Reddy, V. V., Ng, B. P., Khong, A. W. H. (2012). Derivative-constrained frequency-domain wideband DOA estimation. Multidimensional Systems and Signal Processing. https://hdl.handle.net/10356/101711 http://hdl.handle.net/10220/11134 10.1007/s11045-012-0201-8 en Multidimensional systems and signal proccesing © 2012 Springer Science+Business Media, LLC. |
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DRNTU::Engineering::Electrical and electronic engineering Reddy, Vinod Veera Ng, B. P. Khong, Andy Wai Hoong Derivative-constrained frequency-domain wideband DOA estimation |
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In this paper, we present a new approach for wideband direction of arrival (DOA) estimation incorporating derivative constraints into the optimization problem. The Taylor series expansion of steering vector with respect to frequency exhibits the dependence of sensor snapshots on the derivatives of the array manifold matrix, suppression of which reduces the data to follow the narrowband data model. Two new formulations following a beamformer framework are developed based on this observation. While the first formulation estimates accurate source directions with apriori knowledge of the signal subspace dimension, the second formulation provides DOA estimates without estimating the number of sources. The coherent averaging at the reference frequency enables the two formulations to handle coherent sources. The effectiveness of the proposed formulations is illustrated with simulations. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Reddy, Vinod Veera Ng, B. P. Khong, Andy Wai Hoong |
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Article |
author |
Reddy, Vinod Veera Ng, B. P. Khong, Andy Wai Hoong |
author_sort |
Reddy, Vinod Veera |
title |
Derivative-constrained frequency-domain wideband DOA estimation |
title_short |
Derivative-constrained frequency-domain wideband DOA estimation |
title_full |
Derivative-constrained frequency-domain wideband DOA estimation |
title_fullStr |
Derivative-constrained frequency-domain wideband DOA estimation |
title_full_unstemmed |
Derivative-constrained frequency-domain wideband DOA estimation |
title_sort |
derivative-constrained frequency-domain wideband doa estimation |
publishDate |
2013 |
url |
https://hdl.handle.net/10356/101711 http://hdl.handle.net/10220/11134 |
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1681048058452770816 |