Study of High Resolution DOA Estimation Based on Vector-Hydrophone

Abstract:

Vector-hydrophone can simultaneously measure acoustic pressure and orthogonal components of the particle velocity. The 180o ambiguity in DOA estimation can be eliminated using information obtained by vector hydrophone array. Multiple signal classification algorithm is a method that takes the eigen-decomposition of data co-variance matrix to obtain the estimation of signal spatial spectrum. The two-dimensional DOA of acoustic sources is estimated based on multiple signal classification algorithm using the vector-hydrophone uniform linear array. Simulation results show that better DOA resolution performance can be obtained from vector hydrophones. Furthermore, the paper takes the de-correlation of correlated sources using spatial smoothness technology to obtain perfect performance of two-dimensional DOA estimation.

• Periodical: Advanced Materials Research (Volumes 926-930)
• Pages: 1795-1799
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.926-930.1795
• Online since: May 2014
• Authors: Hao Zhou*, Zhi Jie Huo
• Keywords: Array Output, DOA Estimation, Vector-Hydrophone

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