Engineering application of MEMS vector hydrophone and self-adapting root-MUSIC algorithm

Author

Wang, Peng ; Zhang, Guo-Jun ; Xue, Chen-Yang ; Zhang, Wen-Dong ; Xiong, Ji-Jun

Author_Institution

Key Lab. of Instrum. Sci. & Dynamic Meas., North Univ. of China, Taiyuan, China

fYear

2011

fDate

5-9 June 2011

Firstpage

426

Lastpage

429

Abstract

The MEMS technology is a new attempt to design hydrophone. In this paper, the fundamental principle of a novel biomimetic MEMS vector hydrophone based on the meso-piezoresistive effect is introduced, and a self-adapting root-MUSIC algorithm for vector hydrophone array is proposed. The simulation experiment results show the better performance with low Signal-to-Noise (SNR) in direction of arrival (DOA) estimation, and it is also applied in lake trials of MEMS vector hydrophone array. The experiment results show the engineering practicability of MEMS vector hydrophone and self-adapting root-MUSIC algorithm.

Keywords

direction-of-arrival estimation; hydrophones; micromechanical devices; piezoresistive devices; DOA estimation; biomimetic MEMS vector hydrophone; direction of arrival estimation; mesopiezoresistive effect; self-adapting root-MUSIC algorithm; Acoustics; Arrays; Direction of arrival estimation; Micromechanical devices; Multiple signal classification; Sensors; Sonar equipment; DOA; MEMS; MUSIC; vector hydrophone;

fLanguage

English

Publisher

ieee

Conference_Titel

Solid-State Sensors, Actuators and Microsystems Conference (TRANSDUCERS), 2011 16th International

Conference_Location

Beijing

ISSN

Pending

Print_ISBN

978-1-4577-0157-3

Type

conf

DOI

10.1109/TRANSDUCERS.2011.5969568

Filename

5969568