Jekateryńczuk Gabriel, Piotrowski Zbigniew
Faculty of Electronics, Military University of Technology, 00-908 Warsaw, Poland.
Sensors (Basel). 2023 Dec 22;24(1):68. doi: 10.3390/s24010068.
This study is a survey of sound source localization and detection methods. The study provides a detailed classification of the methods used in the fields of science mentioned above. It classifies sound source localization systems based on criteria found in the literature. Moreover, an analysis of classic methods based on the propagation model and methods based on machine learning and deep learning techniques has been carried out. Attention has been paid to providing the most detailed information on the possibility of using physical phenomena, mathematical relationships, and artificial intelligence to determine sound source localization. Additionally, the article underscores the significance of these methods within both military and civil contexts. The study culminates with a discussion of forthcoming trends in the realms of acoustic detection and localization. The primary objective of this research is to serve as a valuable resource for selecting the most suitable approach within this domain.
本研究是对声源定位与检测方法的一项调查。该研究对上述科学领域中所使用的方法进行了详细分类。它根据文献中发现的标准对声源定位系统进行分类。此外,还对基于传播模型的经典方法以及基于机器学习和深度学习技术的方法进行了分析。已关注提供关于利用物理现象、数学关系和人工智能来确定声源定位可能性的最详细信息。此外,本文强调了这些方法在军事和民用领域的重要性。该研究最后讨论了声学检测和定位领域的未来趋势。本研究的主要目的是作为在该领域选择最合适方法的宝贵资源。