RESEARCH AND ANALYSIS OF METHODS FOR RECOGNITION COORDINATES SOUND SOURCE SIGNAL

Abstract

From time immemorial, the task of identifying the source coordinates of various types of signals has remained relevant. The need to determine the coordinates of the sound signal source is very important for such fields as the army, astronomy, transport, communication, meteorology, etc. Therefore, mankind has always worked on finding new methods for determining the coordinates of the sound signal source, and also tried to improve the capabilities and functionality of the existing ones. There are quite a lot of such methods and systems on the world market. Everyone has the same task - determining the coordinates of the sound signal source, but for this they use different principles and methods of implementation, we will try to understand their characteristics and compare their advantages and disadvantages. The purpose of the article is to carry out an analysis of existing methods of sound signal source recognition, comparing their characteristics. Evaluation of their disadvantages and advantages. Proving the feasibility of the proposed method, defining its requirements, and also presenting a list of studies necessary to meet all requirements.

The article analyzes the main advantages and disadvantages of the existing methods of recognizing the coordinates of the sound signal source. A new method for solving the problem of recognizing the coordinates of a sound signal source is proposed - a method of sound signal source recognition using a neural network. Its basic principle and expected characteristics are described. The expediency and relevance of the method was studied. The requirements for the method of sound signal source recognition using a neural network are defined, as well as the list of studies necessary to meet all requirements.