Research on a New Array-Manifold of Single Vector Hydrophone

Abstract:

For the purpose of improving the signal processing of single vector hydrophone, this paper combined two velocity signals as two complex data, so as to change array-manifold of single vector hydrophone. Taking two-dimension single vector hydrophone as an example, this paper compared the capability of signal processing of new array-manifold single vector hydrophone with old one from conventional beam-forming(CBF) ,minimum variance distortionless response (MVDR) and multiple signal classification (MUSIC). As for CBF, the analysis indicates, the capability of spatial filtering of new array-manifold could improve 0.51db and the HPBW of new array-manifold will be smaller than old array-manifold. When the noise power is 0, the HPBW of new array-manifold will be narrower than old array-manifold 19.26°. As for MVDR, the capability of signal processing of new array-manifold is the same as old array-manifold. In MUSIC algorithm, the value measuring angle resolution shows the superiority of the new array-manifold- angle resolution. Simulation and measured data proved the better performance of the method presented by this paper.

• Periodical: Advanced Materials Research (Volumes 955-959)
• Pages: 899-910
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.955-959.899
• Online since: June 2014
• Authors: Bo Le Ma*, Jing Fang Cheng, Chao Ran Zhang
• Keywords: Array-Manifold, Conventional Beam Forming (CBF), Minimum Variance Distortionless Response (MVDR), Multiple Signal Classification (MUSIC), Single Vector Hydrophone

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