Fuzzy adaptive equalizers (FAEs) are adaptive equalizers that apply the concepts of fuzzy logic. The main merit of applying FAEs in powerline channel equalization is that linguistic information (fuzzy IF–THEN rules) and numerical information (input–output pairs) can be combined into the equalizers. The adaptive algorithms adjust the parameters of the membership functions which characterize the ...

Foster F. Dai Auburn University Electrical and Computer Engineering Department 200 Broun Hall Auburn, Alabama 36849-5201 E-mail: [email protected] Abstract. This paper presents complete models for various fiber dispersions and their mitigations using electronic equalizers. A novel constantmodulus-adaptive CMA blind equalization technique is proposed for fiber dispersion compensation. Simulat...

Abstract. This paper investigates the application of function-level Evolvable Hardware (EHW) to the adaptive equalization of digital communication channel. EHW is hardware that is built on programmable logic devices such as eld programmable gate arrays. Its architecture can be recon gured by using genetic learning to adapt to new, unknown environments in real time. We propose an EHW-based adapt...

For high speed data communication, extracting true data from the noisy transmitted data corrupted with inter-symbol interference (ISI), equalizers are a necessary component of the receiver architecture. Adaptive algorithms have been extensively used in communication signal processing. The recent digital communication systems need equalizers with a fast converging rate, that cannot be met by con...

Blind fractionally spaced equalizers reduce intersymbol interference using second-order statistics without the need for training sequences. Methods for finding FIR zero-forcing blind equalizers directly from the observations are described, and adaptive versions are developed. In contrast, most current methods require channel estimation as a first step to estimating the equalizer. The direct met...

The use of adaptive equalizers at the front end of receivers is becoming a necessity as the data rates increase without channel improvements. Adaptive equalizers can be implemented using data-aided or non-data-aided schemes [1], with the latter requiring less area and power. Previous non-data-aided adaptive schemes [2-3] implement an asynchronous analog algorithm where the power spectrum of the...

This paper presents the application of nonlinear channel equalizers, based on fuzzy IF-THEN rules, for Global System for Mobile (GSM) communication applications. Two types of fuzzy filters namely Type–1 TSK (Takagi – Sugeno – Kang) fuzzy adaptive filter (FAF) and Type–2 TSK FAF are considered for performance comparison. The equalizers proposed can be trained with very short training signal of 2...

The severely distorting channels limit the use of linear equalizers and the use of the nonlinear equalizers then becomes justifiable. Neural-network-based equalizers, especially the multilayer perceptron (MLP)-based equalizers, are computationally efficient alternative to currently used nonlinear filter realizations, e.g., the Volterra type. The drawback of the MLP-based equalizers is, however,...

This paper presents a. study of adaptive equalization techniques designed to improve bit error rates (BER) degraded by multipath propagation in · mobile communication systems. Two kinds of equalizers are used in simulation: adaptive lattice decision feedback equalizer (L-DFE) and maximum likelihood sequence estimation (MLSE). RLS algorithms are used to update the equalizers. The choices are bas...

Wireless communication systems operating over time-varying fading channels require adaptive signal processing to equalize the channel variations at the receiver. In wireless applications, the received signal is typically affected by frequency-selective fading and channel equalization is required to mitigate the resulting inter symbol interference (ISI). In this paper an adaptive model has been ...