Advanced Signal Localization for Communication and Sensing Systems
Accurate localization of radio and acoustic sources is important in many modern technologies, from wireless communication and indoor positioning to monitoring, navigation, sensing and security-related applications. As connected systems become more distributed and data-driven, the ability to determine where a signal comes from can support more reliable infrastructure, better situational awareness and more advanced digital services.
This project focused on the development of advanced localization techniques for radio sources using a distributed antenna system. The approach relies on carrier coherence between signals received in different channels, enabling direct localization based on the information contained in the received signals. In addition to radio sources, the project also considered the direct localization of acoustic signal sources, showing the broader applicability of the developed methods.
The work included time and phase alignment of receiving channels, inter-antenna distance measurement using signal processing, derivation of theoretical bounds on localization accuracy and performance evaluation of the proposed algorithms through Monte Carlo simulations. Experimental verification has been performed using off-the-shelf hardware, including USRP devices. By combining advanced signal processing, algorithm development and practical testing, the project demonstrated the potential of coherent wideband localization methods for future communication, sensing and positioning systems.

