Filtering a Signal in a Fuzzy Filter Based on the Area Ratio Method-Reference-Cited by-同舟云学术

Filtering a Signal in a Fuzzy Filter Based on the Area Ratio Method

Published:2020-12-06 Issue:3 Volume:24 Page:183-195
ISSN:2686-6757
Container-title:Proceedings of the Southwest State University
language:
Short-container-title:Proceedings of the SWSU

Author:

Bobyr M. V.¹^ORCID,Luneva M. Yu.¹^ORCID

Affiliation:

1. Southwest State University

Abstract

Purpose of reseach.Digital signal filtering allows real-time noise reduction in electronic devices. Currently, there are many different digital filters, differing in speed, computing power, algorithms and restrictions on the conditions of use. One of these filters is the Kalman filter, but adjusting the gains of this filter is very complicated by the process of additional experiments and collection of statistical information. Therefore, in this paper, the authors consider a simplified algorithm for finding the control coefficients of a fuzzy digital filter with defuzzifier based on the area ratio method and investigate the influence of the area ratio method parameters on signal filtering, thereby achieving the goal of improving the accuracy of the fuzzy digital filter.Methods.For the algorithm for finding the control coefficients of the digital filter, a fuzzy logic apparatus was used. The control factors are determined using a defuzzifier based on the area ratio method.Results.In the course of experimental studies, the mean square error RMSE was calculated for a fuzzy digital filter using the area ratio method, the center of gravity method and the Kalman filter. Based on the results obtained, it was concluded that the fuzzy filter based on the area ratio RMSE method is 5.43 times less than for the Kalman filter and 2.77 times less than for the defuzzifier based on the center of gravity method. The results obtained prove the effectiveness of using a fuzzy digital filter with the area ratio method.Conclusion:This article considers an algorithm for the operation of a fuzzy digital filter, simulates a fuzzy digital filter and a Kalman filter in the Simulink system and calculates the RMSE values for a fuzzy digital filter with the area ratio method and the center of gravity method, as well as the Kalman filter.

Publisher

Southwest State University

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

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