Ray Tracing and Measurement based Evaluation of a UHF RFID Ranging System

This paper presents a ray tracing based channel simulation for the evaluation of ultra-high-frequency (UHF) radio-frequency identification (RFID) ranging methods. In order to account for the diffuse multipath (DM) of an indoor channel, the ray tracer is extended by a statistical model. For the range estimation, a matched filter (MF) and a maximum likelihood (ML) estimator are implemented. The latter exploits the use of multiple-input-multiple-output (MIMO) information. The estimators are evaluated with respect to both the simulated channel model and the data from a measurement campaign. It is shown that the results provided by the simulations and the measurements agree to a large extent. This nominates the presented channel simulation as an efficient method for the evaluation of indoor localization systems.