2011Unpublished venueRequires access

LMMSE equalization and DFE in 2-D ISI channels

Xiwen Zhao

Open publisher page 1 citations

Abstract

Linear minimum mean squared error (LMMSE) equalization and decision feedback equalization (DFE) are effective to mitigate the effect of intersymbol interference (ISI) in one dimensional (1-D) ISI channels. In this paper, we utilize these two equalization algorithms to mitigate the effect of intersymbol intertrack interference in 2-D ISI channels. Simulation results show that like their 1-D counterparts, both 2-D LMMSE equalization and DFE archive significant improvement in bit error rate (BER) performance. We also study the effect of equalization window size on the BER performance. Simulation results reveal that there is an optimal window size for both LMMSE equalization and DFE to achieve the best BER performance.

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What this paper is about

Linear minimum mean squared error (LMMSE) equalization and decision feedback equalization (DFE) are effective to mitigate the effect of intersymbol interference (ISI) in one dimensional (1-D) ISI channels. In this paper, we utilize these two equalization algorithms to mitigate the effect of intersymbol intertrack interference in 2-D ISI channels. Simulation results show that like their 1-D counterparts, both 2-D LMMSE equalization and DFE archive significant improvement in bit error rate (BER) performance. We also study the effect of equalization window size on the BER performance. Simulation results reveal that there is an optimal window size for both LMMSE equalization and DFE to achieve the best BER performance.

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Available abstract

Linear minimum mean squared error (LMMSE) equalization and decision feedback equalization (DFE) are effective to mitigate the effect of intersymbol interference (ISI) in one dimensional (1-D) ISI channels. In this paper, we utilize these two equalization algorithms to mitigate the effect of intersymbol intertrack interference in 2-D ISI channels. Simulation results show that like their 1-D counterparts, both 2-D LMMSE equalization and DFE archive significant improvement in bit error rate (BER) performance. We also study the effect of equalization window size on the BER performance. Simulation results reveal that there is an optimal window size for both LMMSE equalization and DFE to achieve the best BER performance.

Key concepts: Intersymbol interference, Equalization (audio), Nyquist ISI criterion, Bit error rate, Computer science, Interference (communication), Minimum mean square error, Electronic engineering

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