Nonlinear Behavioral Modeling of Passive RFID-Transponder-Frontends

A nonlinear RFID frontend behavioral model has been developed. By using this model the simulation time for inlay optimizations can be decreased considerably and the models hide the IC manufacturer´s intellectual properties. The inherent model order reduction is based on nonlinear state-space mapping using derivative coordinates and harmonic-balance simulations. Feedforward multi-layer-perceptron artificial-neural-networks have been used for the nonlinear multivariate system mapping. The behavioral modeling of RF power rectification, RF voltage limiting and backscatter modulation is demonstrated for a modern passive UHF-RFID CMOS frontend.