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

DOI

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
PB  - Atlantis Press
SP  - 155
EP  - 162
SN  - 1951-6851
UR  - https://doi.org/10.2991/aest-16.2016.20
DO  - 10.2991/aest-16.2016.20
ID  - Ai2016/11
ER  -