STOCHASTIC MATCHED FIELD PROCESSING USING DIRECTED RIEMANNIAN DISTANCE

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  • Tran Cao Quyen

DOI:

https://doi.org/10.36336/akustika2021403

Klíčová slova:

Matched Field Processing, Riemannian Distance, Geodesics, Christofell symbol

Abstrakt

The Matched Field Processing (MFP) plays a crucial role in modern passive SONAR system since its effectiveness of underwater
source localization. Their applications are but not limited to floating boat detecting, submarine detecting, fish finding as well as
ocean environmental parameters determining. In the past, the stochastic matched field processing (SMFP) are derived on the basis of Riemannian distances (RDs) which were calculated using isometric mappings (IMs). In this paper, a new STMP is provided using directed RDs which were obtained by solving the geodesic equations directly instead of using IMs. In addition, we exploit the symmetric property of Riemannian manifold to solve the geodesic equation in the simple manner. The performance of the proposed STMP
outperformed to that of standard algorithm at the expense of a little more of computation.

Stahování

Publikováno

2021-09-29

Jak citovat

Quyen, T. C. (2021). STOCHASTIC MATCHED FIELD PROCESSING USING DIRECTED RIEMANNIAN DISTANCE. Akustika, 40(40). https://doi.org/10.36336/akustika2021403

Číslo

Vol 40 No 40 (2021): AKUSTIKA

Sekce

TEMPLATE

Licence

Copyright (c) 2021 Tran Cao Quyen

Creative Commons License

Tato práce je licencována pod Mezinárodní licencí Creative Commons Attribution-NonCommercial-NoDerivatives 4.0.

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