Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)

Subspace intersection using acoustic vector sensors by extracting main eigenspace of modal subspace

Authors
Weiwei Ai, Jinyu Xiong, Xiaoyong Zhang
Corresponding Author
Weiwei Ai
Available Online November 2016.
DOI
https://doi.org/10.2991/aest-16.2016.20How to use a DOI?
Keywords
subspace intersection (SI); acoustic vector sensors (AVS); normal mode; main eigenspace.
Abstract
The subspace intersection method using acoustic vector sensors [5] provides unbiased bearing estimates in a range-independent shallow ocean with the advantage of both subspace intersection(SI) method and acoustic vector sensors(AVS) array. But its robustness is poor. In this paper, an improved SI method based on extracting main eigenspace of modal subspace is proposed. Simulations show that the performance of the improved method in this paper is better than that of the improved method by compressing modal space with narrower main lobe width and lower estimation error.
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Proceedings
2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-257-2
ISSN
1951-6851
DOI
https://doi.org/10.2991/aest-16.2016.20How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Weiwei Ai
AU  - Jinyu Xiong
AU  - Xiaoyong Zhang
PY  - 2016/11
DA  - 2016/11
TI  - Subspace intersection using acoustic vector sensors by extracting main eigenspace of modal subspace
BT  - 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/aest-16.2016.20
DO  - https://doi.org/10.2991/aest-16.2016.20
ID  - Ai2016/11
ER  -