Title :
Fuzzy filtering of noisy sensor data
Author_Institution :
Dipartimento di Elettrotecnica, Elettronica ed Inf., Trieste Univ., Italy
Abstract :
Removal of noise sensor data is a very important task in the design of a computer-based instrumentation system. This paper presents a new family of nonlinear digital filters based on a fuzzy logic approach. The proposed operators, called PWL-FIRE filters, are able to perform a very effective noise cancellation without degrading the data structure. The design of such filters and the analysis of their basic properties are described in detail. The experimental results show that the proposed filters perform better than other operators in the literature
Keywords :
computerised instrumentation; fuzzy logic; inference mechanisms; interference suppression; nonlinear filters; piecewise-linear techniques; recursive filters; sensor fusion; smoothing methods; PWL-FIRE filters; computer-based instrumentation system; data fusion; data smoothing; fuzzy filtering; fuzzy inference ruled by else-action; impulse noise removal; multisensor instrumentation; noise cancellation; noisy sensor data; nonlinear digital filters; nonlinear operators; piecewise linear fuzzy sets; pixel patterns; recursive structure; Filtering; Filters; Fires; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Noise cancellation; Sensor systems; Signal processing;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1996. IMTC-96. Conference Proceedings. Quality Measurements: The Indispensable Bridge between Theory and Reality., IEEE
Conference_Location :
Brussels
Print_ISBN :
0-7803-3312-8
DOI :
10.1109/IMTC.1996.507577
