The article describes digital and analogue methods for linearising the conversion function of thermoresistive transducers, with a detailed analysis of analogue methods. Analogue methods for linearising bridge circuits and measurement circuits based on passing a reference current through a resistance temperature detector (RTD) are considered. Linearisation of bridge circuits is based on the formation of the compensatingsupply voltage of the bridge circuit, which depends on the change in the measured temperature. When using the measurement method based on passing a reference current through an RTD, nonlinearity compensation is achieved by changing the conversion coefficient of the measuring signal or passing an additional current through the RTD, which linearly depends on the value of the RTD’s voltage change (measured temperature value). When passing an additional compensation current through the RTD, the nonlinearity error is not grater than0.1°C in the range of 0...800°C, and the schematic diagram of the measuring transducer contains a minimum number of elements, which allows to increase its reliability. In general, the choice of a linearisation method depends on the requirements for accuracy, operation rateand resource limitations of the measuring system.

Abstract. An important requirement for up-to-day sensor devices is minimization their power consumption. An effective method of reducing power consumption is cyclic switching of signal chains of sensor devices between active mode and sleep mode. There are two main algorithms for automatic Wake-up transition between these modes – based on the duration of the measurement process and based on the signal level. This study
demonstrates the possibility of optimizing pulse power supply modes in energy-efficient sensor devices using the Wake-up transition algorithm with a software-controlled duration of the measurement process. The implementation of signal circuits of such energy-efficient sensor devices is based on the Programmable System on a Chip (PSoC). Criteria for selecting the optimal duration of power pulses are presented. The optimization
methodology is based on parametric analysis of the dependence of dynamic characteristics of signal circuits on the amplitude of power pulses. In the process of such parametric analysis, the results from both experimental and model studies are used.