Recursive blind identification and equalization of FIR channels for chaotic communication systems

In this study, an adaptive autoregressive (AR) algorithm is proposed for the blind identification and equalization of finite impulse response (FIR) channels for chaotic communication systems. The AR method is derived by minimizing a nonlinear prediction error function that is calculated by exploitin...

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Bibliographic Details
Published in2008 16th European Signal Processing Conference pp. 1 - 5
Main Authors Vural, Cabir, Cetinel, Gokcen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2008
Subjects
Adaptive filters
Blind equalizers
Channel estimation
Chaotic communication
Filtering algorithms
Finite impulse response filters
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Summary:In this study, an adaptive autoregressive (AR) algorithm is proposed for the blind identification and equalization of finite impulse response (FIR) channels for chaotic communication systems. The AR method is derived by minimizing a nonlinear prediction error function that is calculated by exploiting the short time predictability of a chaotic signal. The adaptive AR algorithm requires a recursion within a recursion. A simplification is provided to remove the costly inner recursion. When convergence takes place, the AR filter coefficients give an approximation of the FIR channel coefficients and the AR filter output is an estimate of the transmitted chaotic signal. Simulation results show that the method gives promising results.
ISSN:2219-5491
2219-5491