scholarly journals A two‐component Arctic ambient noise model

1992 ◽  
Vol 92 (4) ◽  
pp. 2343-2343
Author(s):  
Michael V. Greening ◽  
Pierre Zakarauskas
Keyword(s):  
Ambient Noise ◽  
Noise Model ◽  
Two Component

COMPUTATION OF NOISE DIRECTIONALITY, COHERENCE AND ARRAY RESPONSE IN RANGE DEPENDENT MEDIA WITH CANARY

2001 ◽  
Vol 09 (02) ◽  
pp. 327-345 ◽  
Author(s):  
C. H. HARRISON ◽  
R. BRIND ◽  
A. COWLEY
Keyword(s):  
Analytical Solutions ◽  
Ambient Noise ◽  
Numerical Algorithms ◽  
Noise Model ◽  
Test Cases ◽  
Noise Sources ◽  
Source Density ◽  
Or Groups

The ambient noise model CANARY calculates noise coherence and array noise response by treating the noise sources as surface distributions rather than points. This assumption leads to simplification of the propagation, even in range-dependent environments, and by allowing variations in the source density one can represent distant storms or groups of ships. Included is a description of the numerical algorithms used to calculate coherence. Some recently developed analytical solutions for uniform source distributions and uniformly sloping seabed3 are used as test cases for CANARY. Some additional examples demonstrate CANARY's performance in more realistic environments and conditions including wind and shipping sources, and comparisons are made with the noise model RANDI.

scholarly journals Noise Model Analysis and Estimation of Effect due to Wind Driven Ambient Noise in Shallow Water

2011 ◽  
Vol 2011 ◽  
pp. 1-4 ◽  
Author(s):  
S. Sakthivel Murugan ◽  
V. Natarajan ◽  
R. Rajesh Kumar
Keyword(s):  
Wind Speed ◽  
Marine Mammals ◽  
Ambient Noise ◽  
Signal Transmission ◽  
Acoustic Signals ◽  
Noise Spectrum ◽  
Noise Model ◽  
Frequency Range ◽  
Entire Frequency Range ◽  
Wind Speeds

Signal transmission in ocean using water as a channel is a challenging process due to attenuation, spreading, reverberation, absorption, and so forth, apart from the contribution of acoustic signals due to ambient noises. Ambient noises in sea are of two types: manmade (shipping, aircraft over the sea, motor on boat, etc.) and natural (rain, wind, seismic, etc.), apart from marine mammals and phytoplanktons. Since wind exists in all places and at all time: its effect plays a major role. Hence, in this paper, we concentrate on estimating the effects of wind. Seven sets of data with various wind speeds ranging from 2.11 m/s to 6.57 m/s were used. The analysis is performed for frequencies ranging from 100 Hz to 8 kHz. It is found that a linear relationship between noise spectrum and wind speed exists for the entire frequency range. Further, we developed a noise model for analyzing the noise level. The results of the empirical data are found to fit with results obtained with the aid of noise model.

scholarly journals Ocean ambient noise model considering depth distribution of source and geo-acoustic inversion

2017 ◽  
Vol 66 (1) ◽  
pp. 014306
Author(s):  
Jiang Peng-Fei ◽  
Lin Jian-Heng ◽  
Sun Jun-Ping ◽  
Yi Xue-Juan
Keyword(s):  
Ambient Noise ◽  
Depth Distribution ◽  
Noise Model ◽  
Acoustic Inversion

Validation of Webster ambient noise model for real data in tropical littoral water

2016 ◽  
Author(s):  
Piyush M. Asolkar ◽  
Suhas S. Gajre ◽  
Yashwant V. Joshi ◽  
Arnab Das
Keyword(s):  
Ambient Noise ◽  
Real Data ◽  
Noise Model

A simple analytical directional ambient noise model

1980 ◽  
Vol 67 (S1) ◽  
pp. S97-S97 ◽  
Author(s):  
John J. Cornyn
Keyword(s):  
Ambient Noise ◽  
Noise Model

Analysis of the Characteristics of the Background Ambient Noise Origin of Infrasound Station

2014 ◽  
Vol 1044-1045 ◽  
pp. 1061-1065
Author(s):  
Yan Li ◽  
Xi Hai Li ◽  
Liang Meng
Keyword(s):  
Wind Speed ◽  
Background Noise ◽  
Ambient Noise ◽  
Meteorological Data ◽  
Noise Analysis ◽  
Noise Model ◽  
Factors Influencing ◽  
Power Spectral ◽  
Density Analysis ◽  
Meteorological Elements

Meteorological elements are the important factors influencing the background noise model of the infrasound station. In order to determine the specific impact of meteorological elements on the model and find out the background ambient noise root of infrasound station, the infrasound and meteorological data from international infrasound station I34 is processed and analyzed through root mean square research and power spectral density analysis. The results show that the wind speed, wind direction, temperature and pressure is the main factors influencing the infrasound station environment background noise, and the wind speed exercises the greatest influence on background noise. Analysis results can provide theory basis for the modeling of background noise for the infrasound station.

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