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Complex RLS fuzzy adaptive filter and its application to channel equalisation

Complex RLS fuzzy adaptive filter and its application to channel equalisation

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A complex fuzzy adaptive filter based on the RLS algorithm is presented. The inputs and outputs of the fuzzy filter are both complex valued. The fuzzy filter, used as an adaptive equaliser, is applied to 4-QAM digital communication with nonlinear complex channel characteristics. The bit error rates of the fuzzy equalisers are close to those of the optimal equaliser.

Inspec keywords: equalisers; digital filters; least squares approximations; amplitude modulation; fuzzy logic; recursive functions; filtering and prediction theory; adaptive filters; digital communication systems

Other keywords: nonlinear characteristics; optimal equaliser; complex fuzzy adaptive filter; channel equalisation; adaptive equaliser; 4-QAM digital communication; RLS algorithm; bit error rates

Subjects: Digital filters; Modulation and coding methods; Interpolation and function approximation (numerical analysis); Signal processing and detection

References

    1. 1)
      • L.-X. Wang , J.M. Mendel . Fuzzy adaptive filters with application to nonlinear channel equalization. IEEE Trans. Fuzzy Syst. , 3 , 161 - 170
    2. 2)
      • S. Chen . Complex-valued radial basis network, Part II: Application to digitalcommunications channel equalization. Signal Process. , 175 - 188
    3. 3)
      • K.Y. Lee . A fuzzy adaptive decision feedback equalizer. Electron. Lett. , 10 , 749 - 751
    4. 4)
      • S. Haykin . (1996) Adaptive filter theory.
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