International audienceIn the context of mission-critical, safety-critical, and remote-controlled applications, it is required to equip systems with self-adapting capabilities. Adaptation is required in post-manufacturing to correct yield loss and achieve zero defective parts-per-million as well as during normal operation to account for different application scenarios and for varying environmental conditions. A self-adaptive system must be capable of providing the required high performances after manufacturing and throughout its normal operation regardless the application scenario wherein it is deployed and despite the varying environmental conditions. In this paper, we describe a generic post-manufacturing self-adaptation technique for RF circuits as well as concurrent self-adaptation techniques for a safety-critical medical sensor for glaucoma diagnosis and for a NFC system which is very sensitive to the environment in which it operates

An accurate, compact, efficient analytical model at the electrical level of antennas dedicated to NFC (Near Field Communication) applications is presented in this paper. The model takes into account the skin effect, which is usually neglected in existing electrical models while it constitutes a major issue in the NFC context. The proposed model is validated with respect to finite element simulation. Comparison with most significant state-of-the-art models proves the proposed analytical model to be more accurate and efficient for antenna modeling in the NFC context.

In this paper, adaptive tuning strategies for Near Field Communication (NFC) transmitter module are investigated. The objective is to perform auto-adjustment of the matching network associated with the transmitter antenna in order to compensate the influence of the receiver antenna. Two different strategies are studied, aiming at maintaining a constant emitted magnetic field or a constant current consumption.