Conference proceeding
Adaptive maximal asymptotic efficiency equalization using constellation mapping
2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), pp.42-47
01/2011
DOI: 10.1109/DSP-SPE.2011.5739184
Abstract
The focus of this paper is the extension of maximum asymptotic efficiency (MAE) equalization for application to time-varying 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.
Details
- Title: Subtitle
- Adaptive maximal asymptotic efficiency equalization using constellation mapping
- Creators
- Weiwei Zhou - George Mason UniversityJill K Nelson - George Mason UniversityAnanya Sen Gupta - Woods Hole Oceanographic Institution
- Resource Type
- Conference proceeding
- Publication Details
- 2011 Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), pp.42-47
- DOI
- 10.1109/DSP-SPE.2011.5739184
- Publisher
- IEEE
- Language
- English
- Date published
- 01/2011
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984196967502771
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