Complex fuzzy adaptive filter with LMS algorithm

A fuzzy adaptive filter is constructed from a set of fuzzy IF-THEN rules that change adaptively to minimize some criterion function as new information becomes available. This paper generalizes the fuzzy adaptive filter based on least mean squares (LMS) to include complex parameters and complex signa...

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Bibliographic Details
Published inIEEE transactions on signal processing Vol. 44; no. 2; pp. 424 - 427
Main Author LEE, K. Y
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.02.1996
Institute of Electrical and Electronics Engineers
Subjects
Adaptive filters
Adaptive signal processing
Applied sciences
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Fuzzy sets
Fuzzy systems
Information, signal and communications theory
Least squares approximation
Multidimensional signal processing
Quadrature amplitude modulation
Signal and communications theory
Signal processing
Signal processing algorithms
Signal, noise
Telecommunications and information theory
Zirconium
Experimental result
Fuzzy algorithm
Least squares method
Bit error rate
Equalizer
Adaptive filter
Quadrature modulation
Fuzzy set
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ISSN1053-587X
DOI10.1109/78.485938

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Summary:A fuzzy adaptive filter is constructed from a set of fuzzy IF-THEN rules that change adaptively to minimize some criterion function as new information becomes available. This paper generalizes the fuzzy adaptive filter based on least mean squares (LMS) to include complex parameters and complex signals. The fuzzy filter as adaptive equalizer is applied to quadrature amplitude modulation (QAM) digital communication with linear complex channel characteristics.
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ISSN:1053-587X
DOI:10.1109/78.485938