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A method for 3D direction of arrival estimation for general arrays using multiple frequencies

Andersson, Fredrik LU ; Carlsson, Marcus LU ; Tourneret, Jean Yves and Wendt, Herwig (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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Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
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}},
}