Extreme methods of localizing a noise source using a network of distributed sensors

• Main Authors: N. G. Dzhavadov, K. G. Asadov, R. V. Kazymly
• Format: Article
• Language: English
• Published: CRI «Electronics» 2020-06-01
• Series: Радиопромышленность
• Subjects: distributed network; optimization; noise signal; sensors; localization
• Online Access: https://www.radioprom.org/jour/article/view/675

Wireless networks of distributed sensors are used to study natural resources, track various targets, monitor hard-to-reach areas, etc. Unattended sensors are randomly distributed on the territory using various technical means. The research aims to develop an extreme method for localizing a noise source. The developed method is based on the proposed principle of extreme localization of a noise source using a network of distributed fixed receivers. The following varieties of the proposed principle are considered: an extreme method of localizing a noise signal source using a network of distributed tunable sensors; a method of selecting wavelengths by the distance between the transmitter and receiver. The mathematical substantiation of the methods using the mathematical procedure of unconditional variational optimization is given. The algorithms for the implementation of the proposed methods are compiled.