A novel decision feedback equalizer design based on generalized space translation

This paper proposes a computationally efficient approach to designing the maximum asymptotic efficiency (MAE) equalizer, which minimizes bit error rate as the signal-to-noise ratio approaches infinity. The MAE equalizer is implemented as a tapped delay line and hence has the same runtime complexity as the simple MMSE linear equalizer. However, design of the MAE equalizer involves finding the minimum distance between two convex hulls. Its design complexity is exponential in the length of channel and equalizer, making it impractical for long channels. The proposed method exploits the relationship between the channel vectors and the convex hull formed by the noise-free channel outputs to design the MAE equalizer directly from the channel coefficients without requiring a search of the convex hull. The equalizer design complexity is reduced to O(N log N ), where N is determined by the length of the channel and equalizer. Simulation results reveal the dramatic decrease in design complexity.

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Computationally efficient design of the MAE equalizer for binary signaling

Zhou

Nelson

Gupta

2011

2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)

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SVM based method for multi-equalizer optimization

Taub

2019

2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS)

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Adaptive maximal asymptotic efficiency equalization using constellation mapping

Zhou

Nelson

Gupta

2011

2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE)

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The focus of this paper is the extension of maximum asymptotic efficiency (MAE) equalization for application to timevarying communication channels. While the asymptotically optimal MAE equalizer is very attractive in its low runtime complexity, it suffers from high (exponential in channel and equalizer length) design complexity. Frequent redesign renders the effective operational complexity of the MAE equalizer impractical for implementation in time-varying channels. In this work, we address this issue by mapping the time-varying channel to a fixed channel for which the MAE equalizer is pre-designed. The channel mapping is performed via a linear pre-filter. Simulation results reveal that a pre-filter followed by a fixed MAE equalizer achieves gains of up to 4 dB over a conventional minimum mean square error (MMSE) linear equalizer in the high SNR regime. The proposed adaptive equalizer provides a balance between the optimal bit error rate performance and design complexity.

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A novel decision feedback equalizer design based on generalized space translation

Cited by 3 publications

References 8 publications

Computationally efficient design of the MAE equalizer for binary signaling

Computationally efficient design of the MAE equalizer for binary signaling

SVM based method for multi-equalizer optimization

Adaptive maximal asymptotic efficiency equalization using constellation mapping

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