Title :
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
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;
Conference_Titel :
Solid-State Sensors, Actuators and Microsystems Conference (TRANSDUCERS), 2011 16th International
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-0157-3
DOI :
10.1109/TRANSDUCERS.2011.5969568
