An Efficient Method of Electromagnetic Transmitters Localization in Multipath Environment

This paper explores the efficiency of the MUSIC algorithm in the domain of electromagnetic wave propagation in urban environment. The Multiple Signal Classification (MUSIC) algorithm, widely used in direction-of-arrival estimation, is examined for its ability to address the challenges posed by multipath propagation in urban environment. The study investigates the algorithm’s robustness in the estimation of angles of electromagnetic wave arrivals in the complex, urban landscapes, considering factors such as reflections, diffractions, and signal interactions with various obstacles. The article presents the theoretical foundations of the MUSIC algorithm, explaining its principles and adaptive capabilities. Practical applications of the algorithm are explored within the context of electromagnetic wave propagation in urban area, indicating its potential for localization in complex, multipath environments. Using simulations, the study provides insights into the algorithm’s performance under diverse conditions. The findings contribute to the understanding of MUSIC’s applicability in urban environments, offering valuable implications for the localization of electromagnetic sources in challenging propagation scenarios. The main effort of the research is devoted to prove the authors hypothesis that MUSIC algorithm can not only show directions to many emitters but also find many paths that signal used to reach the receiver and this way obtain the actual localization of the transmitter by combining estimated azimuths for each signal path and the area structure. The presented research is an initial step for further exploration of advanced localization techniques in dynamic urban areas.