Tran Cao, Quyen (2019) Matched Field Processing For Source Localization Based on An Approach of Riemannian Geometry. AKUSTIKA . ISSN 25708775
Full text not available from this repository.Abstract
The matched field processing (MFP) for source localization has long history, and remains a viable area of research as well as application of SONAR. Some methods such as empirical mode decomposition, adaptive MFP, compressive MFP and MFP using Riemannian geometry have been introduced recently in order to increase the performance of conventional MFP. In case of ocean environment variability, there are many modeled field replicas thus the number of degree of freedom is increased, consequently the true source selection becomes more complexity. In this paper, we presents a MFP using an approach of Riemannian geometry in which Riemannian distance is obtained in close-form from a new isometric mapping and 20 modeled field replicas that are received in simulation from variable sound speeds. On the basis of the proposed MFP and simulation results, the source localization could be found in a more realistic manner.
| Item Type: | Article |
|---|---|
| Subjects: | Electronics and Communications > Communications Electronics and Communications ISI-indexed journals |
| Divisions: | Faculty of Electronics and Telecommunications (FET) |
| Depositing User: | Trần Cao Quy�n |
| Date Deposited: | 14 Oct 2019 03:02 |
| Last Modified: | 14 Oct 2019 03:02 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/3571 |
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