Temat: acoustic source - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Modeling of acoustic field for a parametric focusing source using the spheroidal beam equation
Autorzy:: Yu, L.
Li, J.
Shi, C.
Powiązania:: https://bibliotekanauki.pl/articles/258564.pdf
Data publikacji:: 2015
Wydawca:: Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:: parametric focusing source
difference frequency wave
SBE
acoustic field
Opis:: A theoretical model of acoustic field for a parametric focusing source on concave spherical surface is proposed. In this model, the source boundary conditions of the Spheroidal Beam Equation (SBE) for difference frequency wave excitation were studied. Propagation curves and beam patterns for difference frequency component of the acoustic field are compared with those obtained for Khokhlov-Zabolotskaya-Kuznetsov (KZK) model. The results demonstrate that the focused parametric model of SBE is good valid for a large aperture angle in the strongly focused acoustic field. It is also investigated that high directivity and good focal ability with the decreasing of downshift ratio and the increasing of half-aperture angle for the focused parametric model of SBE.
Źródło:: Polish Maritime Research; 2015, S 1; 43-47
1233-2585
Pojawia się w:: Polish Maritime Research
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Underwater target direction of arrival estimation by small acoustic sensor array based on sparse bayesian learning
Autorzy:: Wang, B.
He, C.
Powiązania:: https://bibliotekanauki.pl/articles/260588.pdf
Data publikacji:: 2017
Wydawca:: Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:: DOA
underwater acoustic signal processing
sparse Bayesian learning
temporally correlated source
Opis:: Assuming independently but identically distributed sources, the traditional DOA (direction of arrival) estimation method of underwater acoustic target normally has poor estimation performance and provides inaccurate estimation results. To solve this problem, a new high-accuracy DOA algorithm based on sparse Bayesian learning algorithm is proposed in terms of temporally correlated source vectors. In novel method, we regarded underwater acoustic source as a first-order auto-regressive process. And then we used the new algorithm of multi-vector SBL to reconstruct the signal spatial spectrum. Then we used the CS-MMV model to estimate the DOA. The experiment results have shown the novel algorithm has a higher spatial resolution and estimation accuracy than other DOA algorithms in the cases of less array element space and less snapshots.
Źródło:: Polish Maritime Research; 2017, S 2; 95-102
1233-2585
Pojawia się w:: Polish Maritime Research
Dostawca treści:: Biblioteka Nauki

Artykuł

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