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ADAPTIVE GRID 2-D DIRECTION OF ARRIVAL ESTIMATION METHOD USING AN INTEGRATED DICTIONARY

Wu, Yanan LU and Jakobsson, Andreas LU orcid (2024) 49th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings p.8471-8475
Abstract

This paper develops an adaptive grid two-dimensional (2-D) direction-of-arrival (DOA) estimation technique employing an integrated dictionary framework. In contrast to using a traditional grid over distinct angles, combined angle information atoms are adopted to construct the dictionary, using a SPICE-based noise power estimate to select the active regions. To compensate for off-grid bias effects, a 2-D dictionary learning procedure is proposed, which is able to yield accurate estimates even in single snapshot scenarios without assuming information about the number of sources. Numerical simulations illustrate the preferable performance of the proposed method as compared to recent 2-D DOA estimation algorithms.

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author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
2-D dictionary learning, 2-D DOA estimation, ADMM, integrated dictionary, sparsity-based method
host publication
2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings
series title
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
pages
5 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
49th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024
conference location
Seoul, Korea, Republic of
conference dates
2024-04-14 - 2024-04-19
external identifiers
  • scopus:85195365939
ISSN
1520-6149
ISBN
9798350344851
DOI
10.1109/ICASSP48485.2024.10445892
language
English
LU publication?
yes
id
f98ef488-dba6-497e-8988-56ea1bbc92af
date added to LUP
2024-09-30 10:41:15
date last changed
2024-09-30 10:43:50
@inproceedings{f98ef488-dba6-497e-8988-56ea1bbc92af,
  abstract     = {{<p>This paper develops an adaptive grid two-dimensional (2-D) direction-of-arrival (DOA) estimation technique employing an integrated dictionary framework. In contrast to using a traditional grid over distinct angles, combined angle information atoms are adopted to construct the dictionary, using a SPICE-based noise power estimate to select the active regions. To compensate for off-grid bias effects, a 2-D dictionary learning procedure is proposed, which is able to yield accurate estimates even in single snapshot scenarios without assuming information about the number of sources. Numerical simulations illustrate the preferable performance of the proposed method as compared to recent 2-D DOA estimation algorithms.</p>}},
  author       = {{Wu, Yanan and Jakobsson, Andreas}},
  booktitle    = {{2024 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Proceedings}},
  isbn         = {{9798350344851}},
  issn         = {{1520-6149}},
  keywords     = {{2-D dictionary learning; 2-D DOA estimation; ADMM; integrated dictionary; sparsity-based method}},
  language     = {{eng}},
  pages        = {{8471--8475}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings}},
  title        = {{ADAPTIVE GRID 2-D DIRECTION OF ARRIVAL ESTIMATION METHOD USING AN INTEGRATED DICTIONARY}},
  url          = {{http://dx.doi.org/10.1109/ICASSP48485.2024.10445892}},
  doi          = {{10.1109/ICASSP48485.2024.10445892}},
  year         = {{2024}},
}