This paper presents a new kind of adaptive filter: type-2 fuzzy adaptive filter (FAF); one that is realized using an unnormalized type-2 Takagi–Sugeno–Kang (TSK) fuzzy logic system (FLS). We apply this filter to equalization of a nonlinear time-varying channel and demonstrate that it can implement the Bayesian equalizer for such a channel, has a simple structure, and provides fast inference. A ...

Broadband wireless channels, where high data rates are transmitted, are extremely dispersive in nature. A fundamental challenge in the design of equalizers for the broadband case lies in reducing complexity. Broadband finite impulse response (FIR) beamformers employ a space-time antenna array which reduces the multipath delay spread to narrowband levels. Adaptive frequency-domain equalizers tha...

We examine the use of a blind adaptive “pre-whitening” filter to precede an equalizer adapted by the constant modulus algorithm (CMA). The idea is based on results presented in which the use of a (fixed, or non-adaptive) pre-whitening filter provides an isometry (i.e. geometry preserving transformation) between the combined channel-equalizer (or global space) and the equalizer tap space. As muc...

Linear and Non-linear distortion influenced data transmission rate in communication system. In the presence of White Gaussian Noise linear distortion occurs in form of intersymbol interference (ISI) and co-channel interference (CCI). Amplifiers, modulator and demodulator subsystems are caused for Non-linear distortions along with nature of the medium. Different techniques are used to equalized ...

Two well known optimization algorithms, the Genetic Algorithm (GA) and the Simulated Annealing Algorithm (SAA), are investigated for IIR adaptive phase equalizers. For non-convex error surfaces, gradient-based algorithms often fail to find the global optimum. This work compares the ability of the GA and the SAA to achieve the global minimum solution for multi-order all-pass adaptive filters to ...

Novel receiver structures combining traditional transversal equalizers and neural networks have been introduced for adaptive discrete-signal detection to improve the equalizer performance especially in compensating nonlinear distortions. In addition to noise and nonlinearities, various interfering signals may be present. In this paper, the behavior of the neural receivers in the presence of ran...

In this paper, we discuss the performance of Blind Equalization algorithms, which can deal with the cases that the input signals are correlated and decrease the filtering error. We describe the algorithm process and analysis the error performance and computational complexity and an example of adaptive blind equalization is given to verify these algorithms. Results and conclusions are made which...

ABSTRACT Previous work has shown that the optimum MSE causal equalizer is IIR, with a number of poles equal to the channel order. We investigate two different blind criteria for the adaptation of the recursive part of the equalizer: Output Variance Minimization (OVM) and a Pseudolinear Regression (PLR) method. In sufficient order cases both algorithms converge to the desired setting. In undermo...