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Design of Fuzzy Adaptive IIR Filter in Direct Form  

유근택 (극동전문대학 전자통신과)
배현덕 (충북대학교 전자공학과)
Publication Information
Journal of the Institute of Electronics Engineers of Korea TE / v.39, no.4, 2002 , pp. 370-378 More about this Journal
Abstract
Fuzzy inference which combines numerical data and linguistic data has been used to design adaptive filter algorithms. In adaptive IIR filter design, the fuzzy prefilter is taken account, and applied to both direct and lattice structure. As for the fuzzy inference of the fuzzy filter, the Sugeno's method is employed. As membership functions and inference rules are recursively generated through neural network, the accuracy can be improved. The proposed adaptive algorithm, adaptive IIR filter with fuzzy prefilter, has been applied to adaptive system identification for the purposed of performance test. The evaluations have been carried out with viewpoints of convergence property and tracking properties of the parameter estimation. As a result, the faster convergence and the better coefficients tracking performance than those of the conventional algorithm are shown in case of direct structures.
Keywords
fuzzy filter; IIR filter; inference; adaptive algorithm;
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