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A Simple Algorithm for Solving a Two-dimensional Nonlinear Measurement Problem

The term "two-dimensional measurements" is related to the cases when two sensors used in measuring system are nonselective and by the appropriate processing of the sensors output signals we wish to extract the values of both measured variables. The processing becomes complicated when the sensors are nonlinear and the number of available calibrating points is limited. The paper presents a relatively simple algorithm applicable even in simple microprocessor systems. The algorithm consists in the successive, step-by-step, narrowing the permissible range of measured variables. The results of simulative calculations based on the real data are presented in the form of the error maps.