Making connectivity work reliably in harsh electromagnetic environments. Narrowband interference removal algorithms for OFDM-based communication

Recent technology advancements have integrated innovations like self-driving vehicles and collaborative robots into our daily lives. Autonomous Vehicles and Unmanned Aerial Vehicles are being actively invested in for safety and efficiency. This thesis focuses on ensuring reliable connectivity in safety-critical systems, dealing with electromagnetic interference. It addresses spectral leakage in Orthogonal Frequency-Division Multiplexing (OFDM) communication due to narrowband interferences using "Mod-remod" and "Differential" algorithms, with promising simulation and laboratory results. The manuscript also explores Wireless Sensor Networks' potential in agriculture, particularly SmartMesh IP technology for energy-efficient applications.