Indoor Localization Using RFID Systems

In this thesis, I will comprehensively investigate indoor localization technologies utilizing RFID systems as the core subject of my graduation project. The research involves in-depth analysis of theoretical frameworks and methodologies, including signal processing algorithms such as Received Signal Strength Indicator (RSSI) triangulation and phase-based positioning techniques. Experimental validation will be conducted through MATLAB simulations and hardware implementations using Arduino/Raspberry Pi platforms with UHF RFID readers. The study will examine practical applications through real-world scenario testing while addressing limitations like multipath interference and tag collision issues. Potential enhancements involving machine learning algorithms for pattern recognition and Kalman filtering for trajectory optimization will be proposed. This challenging research domain holds significant practical value, and I aim to contribute to its advancement through systematic algorithm development and performance analysis.