Spatial object positioning is a crucial task in modern security, navigation, and automation technologies. The use of acoustic emission to determine the position of objects opens new perspectives in cases where traditional methods are limited or ineffective. Acoustic methods allow for determining the position of objects in complex conditions, such as poor visibility, the presence of physical obstacles, or a lack of direct line of sight.
At the same time, real-time detection of aerial vehicles faces a number of challenges: Complexity of signal processing in high-noise environments. Presence of reflected sound waves (reverberation) that can distort data. Dependence of acoustic signal characteristics on weather conditions.
Aim of the Work
To increase the reliability of detection and localization of aerial vehicles in conditions where the use of traditional location methods is hindered.
To achieve this aim, the following tasks must be performed:
1. Conduct an analytical review of the literature on the dissertation topic.
2. Develop the architecture, algorithm, and software implementation of the model for spatial localization of aerial vehicles.
3. Conduct research on the developed model and evaluate the accuracy of determining the coordinates of aerial vehicles.
4. Conduct research on the neural network module for determining the types of aerial vehicles.
Object of Research
The process of determining the spatial position of aerial vehicles.
Subject of Research
The method of acoustic monitoring of the spatial position of aerial vehicles.
Scientific Novelty
Improvement of methods for spatial localization of aerial vehicles by integrating modern neural network models with sound signal processing techniques. A new approach to acoustic signal processing in environments with high noise levels and reflections is proposed, which will increase the accuracy of determining the coordinates of aerial vehicles.
Structure of the Work The Master's thesis consists of an explanatory note and graphic materials. The explanatory note contains an introduction, 5 chapters, conclusions, a list of references, and appendices. Volume of the work: explanatory note – __ A4 pages, _ illustrations, _ tables; _ sources were processed.
Practical Value of Research Results
Creation of a software implementation of a passive location model, which allows for high-precision calculation of air target coordinates using the Time Difference of Arrival (TDOA) method. The developed system can be used as a basis for creating mobile acoustic reconnaissance complexes, as well as a research platform for testing new digital signal processing algorithms under conditions of limited computing resources of embedded systems.
Research advisor: A. Protasov
The full text of the work is not published by the decision of the department