An application-specific processor dedicated to Kalman-filter-based correction of spectrometric data

An application-specific processor dedicated to Kalman-filter-based measurand reconstruction in spectrometric applications is proposed. It is intended to act as coprocessor of a host processor, performing relatively sophisticated processing of measurement data subject to systematic errors of an instrumental type and to random errors of various natures, it is basically designed for improving the resolution of spectrometric measurements commonly used in environmental laboratories, but it may be useful in other applications where similar processing of measurement data is required. Examples of applications of the processor in spectrometric measurements, its metrological advantages and limitations, as well as perspectives of its development, are presented