Abstract
This research paper proposes the construction of an mathematical model of
infrasound signal propagation. The constructed model contains the following set of input
data: standard deviation of measurement noise, infrasound wave propagation velocity,
sensor coordinates, azimuth, and time of infrasound signal reception by sensors. The
specified accuracy of the input data is discussed and justified. The main theoretical
modeling methods are a combination of azimuth –based triangulated value averaging and
Bayesian infrasound source localization. The result of the modeling is a Python software
module with the ability to set input data and obtain a point with the coordinates of the
location of the infrasound signal source, the distance of the sensors to it.
Visualization of the results of mathematical modeling is provided for the purpose of
verification of the obtained results, further studies of the influence of the accuracy
of input data. The obtained modeling results are expected to be used to fill data
samples for further research on infrasound signal localization using machine learning
method sand tools; for iterative improvement of the current mathematical model.
Publisher
Lviv Polytechnic National University