A method for 3D direction of arrival estimation for general arrays using multiple frequencies
(2016) 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015 p.325-328- Abstract
We develop a novel high-resolution method for the estimation of the direction of incidence of energy emitted by sources in 3D space from wideband measurements collected by a planar array of sensors. We make use of recent generalizations of Kronecker's theorem and formulate the direction of arrival estimation problem as an optimization problem in the space of sequences generating so called general domain Hankel matrices of fixed rank. The unequal sampling at different wavelengths is handled by using appropriate interpolation operators. The algorithm is operational for general array geometries (i.e., not restricted to, e.g., rectangular arrays) and for equidistantly as well as unequally spaced receivers. Numerical simulations for... (More)
We develop a novel high-resolution method for the estimation of the direction of incidence of energy emitted by sources in 3D space from wideband measurements collected by a planar array of sensors. We make use of recent generalizations of Kronecker's theorem and formulate the direction of arrival estimation problem as an optimization problem in the space of sequences generating so called general domain Hankel matrices of fixed rank. The unequal sampling at different wavelengths is handled by using appropriate interpolation operators. The algorithm is operational for general array geometries (i.e., not restricted to, e.g., rectangular arrays) and for equidistantly as well as unequally spaced receivers. Numerical simulations for different sensor arrays and various signal-to-noise ratios are provided and demonstrate its excellent performance.
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- author
- Andersson, Fredrik LU ; Carlsson, Marcus LU ; Tourneret, Jean Yves and Wendt, Herwig
- organization
- publishing date
- 2016-01-14
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- 3D DOA estimation, ADMM, general domain Hankel matrix, irregular sampling, Kronecker's theorem
- host publication
- 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015
- article number
- 7383802
- pages
- 4 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015
- conference location
- Cancun, Mexico
- conference dates
- 2015-12-13 - 2015-12-16
- external identifiers
-
- scopus:84963818645
- ISBN
- 9781479919635
- DOI
- 10.1109/CAMSAP.2015.7383802
- language
- English
- LU publication?
- yes
- id
- 52503c5e-da10-4345-b856-838cff5fd313
- date added to LUP
- 2016-07-19 10:59:59
- date last changed
- 2022-04-24 08:54:28
@inproceedings{52503c5e-da10-4345-b856-838cff5fd313, abstract = {{<p>We develop a novel high-resolution method for the estimation of the direction of incidence of energy emitted by sources in 3D space from wideband measurements collected by a planar array of sensors. We make use of recent generalizations of Kronecker's theorem and formulate the direction of arrival estimation problem as an optimization problem in the space of sequences generating so called general domain Hankel matrices of fixed rank. The unequal sampling at different wavelengths is handled by using appropriate interpolation operators. The algorithm is operational for general array geometries (i.e., not restricted to, e.g., rectangular arrays) and for equidistantly as well as unequally spaced receivers. Numerical simulations for different sensor arrays and various signal-to-noise ratios are provided and demonstrate its excellent performance.</p>}}, author = {{Andersson, Fredrik and Carlsson, Marcus and Tourneret, Jean Yves and Wendt, Herwig}}, booktitle = {{2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015}}, isbn = {{9781479919635}}, keywords = {{3D DOA estimation; ADMM; general domain Hankel matrix; irregular sampling; Kronecker's theorem}}, language = {{eng}}, month = {{01}}, pages = {{325--328}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{A method for 3D direction of arrival estimation for general arrays using multiple frequencies}}, url = {{http://dx.doi.org/10.1109/CAMSAP.2015.7383802}}, doi = {{10.1109/CAMSAP.2015.7383802}}, year = {{2016}}, }