RESEARCH OF OPTIMAL LINEAR METHODOLOGIES FOR PROCESSING MEASUREMENT INFORMATION

Ivanov Yuri Pavlovich, Krasnenkov Nikita Sergeevich

This article studies the optimal linear methods of processing measurement information for accuracy, robustness and noise immunity. The purpose of the study is to determine the features and advantages of each of the presented methods, as well as to determine the most rational methodology for signal processing in the context of the selected measurement model.

Keywords:finite-time processing, spectral-finite processing, Kalman filter, feedback, accuracy, robustness, noise immunity