Date of Award
Master of Science (MS)
Christopher Reineke Barber
This thesis describes the research and development results of designing a system that can detect an unknown transmitter that is operating within a wideband spectrum covering 240-960MHz. The system design, development, and integration of a Prototype Spectrum Sensing Platform for the MEMSIC IRIS wireless sensor network platform  can be used for detection, monitoring, and localization of emitters in diverse RF propagation environments. Decoupling the dependency of the Received Signal Strength (RSS) measurements from the primary transceiver by the addition of a secondary receiver provides for continuous real-time analysis of the RF environment signal levels. The goal is to provide a simple, distributed 3-D spectrum analysis in real-time that is energy efficient, has a small form-factor and does not degrade the omni-directional operation of the primary node's antenna by utilizing mobile sensor nodes. Such distributed spectrum sensing will be able to provide accurate RSS information about non-coherent signals present in the sensing environment without the overhead of having to handle bidirectional communication to other nodes. The platform has been designed, fabricated, tested, and employed on static MEMSIC IRIS nodes for evaluation of RF sensing performance.
Barber, Christopher R., "" (2019). Thesis. 19.