The length and complexity of a linear equalizer filter is highly dependent on the nature of the channel effects it must mitigate. The governing design rules are typically stated in terms of the channel's temporal characteristics, i.e. impulse response duration. Equalizer implementational complexity is a principal limiting factor for high bandwidth data communication applications, and consequent...

In this work we provide a methodology for the design and verification of a frequency domain equalizer. The performance analysis of the equalizer is conducted using two methods: simulation based verification in Simulink and System Generator and theorem proving techniques in Higher Order Logic. We conduct both floating-point and fixed-point error estimations for the design in Simulink and System ...

This paper proposes a dynamic tap allocation for the concurrent CMA-DD equalizer as a low complexity solution for the blind channel deconvolution problem. The number of taps is a crucial factor which affects the performance and the complexity of most adaptive equalizers. Generally an equalizer requires a large number of taps in order to cope with long delays in the channel multipath profile. Si...

We propose a zero-forcing frequency domain block equalizer for discrete multitone (DMT) systems with a guard interval of insufficient length. In addition to the insufficient guard interval in the time domain, the equalizer takes advantage of frequency domain redundancy in the form of subcarriers that do not transmit any data. After deriving sufficient conditions for zero-forcing equalization, t...

A transversal equalizer with half Baud spaced taps in the center and extended with Baud spaced taps on both sides is presented. This hybrid equalizer combines the benefits of Baud spaced equalizers like superior equalization of notches in the middle of the transmission band and fractionally spaced equalizers, which have a superior performance when equalizing asymmetric notches in the slope of t...

This paper presents a theoretical analysis of the static and dynamic convergence behavior for a general class of adaptive blind equalizers. We first study the properties of prediction error functions of blind equalization algorithms, and then, we use these properties to analyze the static and dynamic convergence behavior based on the independence assumption. We prove in this paper that with a s...

This paper presents a theoretical analysis of the static and dynamic convergence behavior for a general class of adaptive blind equalizers. We rst study the properties of prediction error functions of blind equalization algorithms, and then we use these properties to analyze the static and dynamic convergence behavior based on the independent assumption. We prove in this paper that with a small...

This paper proposes a spatio-temporal equalization method, which employs a cascade configuration of an adaptive array and a decision feedback equalizer (DFE). With the configuration, the proposed equalizer requires small number of weights, and hence, low computational complexity, however, it has to pay a price for the simplicity, namely, noise enhancement due to high sidelobe levels in certain ...

Abstract-This paper provides an overview of a parallel adaptive equalizer architecture and its highrate FPGA realization. The very large scale integration (VLSI) architecture for implementing a frequency domain least-mean squares (LMS) complex equalizer incorporates a simple subconvolution method, digital vector processing, specialized FFT-IFFT hardware architectures, and the discrete Fourier t...

A general MMSE decision feedback equalizer (DFE) for multiple input-multiple output channels is presented. It is derived under the constraint of realizability, requiring finite smoothing lag and causal filters both in the forward and feedback link. The proposed DFE, which provides an optimal structure as well as optimal filter degrees, is obtained as an explicit solution in terms of the channel...