It is well known that the interior air frame makes for a complex RF environment. This is due to the resonant electromagnetic cavity nature of the air frame interior, which is a result of a large internal volume and conductive boundaries. This complex interior presents a challenge in determining optimal placement of RFID tags. We propose to develop a physics based computational tool for optimizing RFID tag placement in complex rotocraft environments that takes into account the statistical nature of the rotorcraft environment. The tool will also include RF system models for the tags and readers in order to provide a simulation of the compelete RFID system and environment.
Benefit: RFID tags proliferate in numerous commercial market segments. We believe that there is a very strong opportunity for the commercialization of the simulation tool that will result from the proposed project. RFID tag applications are widespread across many application including military & aerospace, healthcare, manufacturing, automotive, apparel, construction, facilities management, building maintenance, agriculture, retail and more. The simulation tool proposed here will provide a complete statistical model of the entire RFID system including tags, readers and the geometry of the installation.
Keywords: stochastic electromagnetics, stochastic electromagnetics, Computational Electromagnetics, RFID Tag, RFID
