A method for improving the accuracy and reliability of navigation and measurement systems based on complex optimal invariant filtering of arbitrary signals in conditions of redundancy of information processing devices


Аuthors

Fedorinov A. Y.*, Ivanov Y. P.

Saint Petersburg State University of Aerospace Instrumentation, 67, Bolshaya Morskaya str., Saint Petersburg, 190000, Russia

*e-mail: fedorinov_asperant_accaunt@mail.ru

Abstract

The application of signal filtering is a necessary and important process in modern technology and science, as it helps to improve the quality and reliability of the data that we receive from various sources. The paper presents a method for improving the accuracy and reliability of an integrated navigation signal filtering system based on the use of redundancy of optimal finite-time information processing methods without feedback and with feedback in conditions of complete a priori certainty and parametric a priori uncertainty using optimal automatic identification of meter states according to the criterion of V.A. Kotelnikov. An important advantage of using an integrated system is to improve flight safety and the accuracy of the measured parameters. The information and measurement system under study contains a two-channel measurement system and two finite-time information processing algorithms. The method of complex optimal invariant linear filtering of discrete signals of information and measurement systems based on the use of a difference signal filter (FRS) is considered in conditions of complete a priori certainty of measurement interference and in conditions of a priori parametric uncertainty regarding the type of models of low-frequency measurement interference. Measurement interference models can be, in general, arbitrary random fluctuation processes or an additive combination of arbitrary fluctuations and a regular type of quasi-deterministic non-stationary random process. It is assumed that the difference signal filter implements an algorithm for filtering signals in accordance with optimally identified states by the meters of the complex system according to the criterion of V.A. Kotelnikov. The simulation was carried out using Mathcad.

Keywords:

Optimal filtering, finite-time signal estimation methods, redundancy of filtering algorithms of a complex system

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