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Reduced complexity optimal detection of binary faster-than-Nyquist signaling

Mohamed, Ebrahim Bedeer, Yanikomeroglu, Halim and Ahmed, Mohamed Hossam (2017) Reduced complexity optimal detection of binary faster-than-Nyquist signaling. In: Communications (ICC), 2017 IEEE International Conference on. IEEE. 6 pp. [Conference contribution]

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Abstract

In this paper, we investigate the detection problem ofbinary faster-than-Nyquist (FTN) signaling and propose a novelsequence estimation technique that exploits its special structure.In particular, the proposed sequence estimation technique isbased on sphere decoding (SD) and exploits the following twocharacteristics about the FTN detection problem: 1) the correlationbetween the noise samples after the receiver matchedfilter, and 2) the structure of the intersymbol interference (ISI)matrix. Simulation results show that the proposed SD-basedsequence estimation (SDSE) achieves the optimal performance ofthe maximum likelihood sequence estimation (MLSE) at reducedcomputational complexity. This paper demonstrates that FTNsignaling has the great potential of increasing the data rateand spectral efficiency substantially, when compared to Nyquistsignaling, for the same bit-error-rate (BER) and signal-to-noiseratio (SNR).

Item Type:Conference contribution (Paper)
Keywords:Faster-than-Nyquist, equalization, sphere decoding
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Engineering
ID Code:39518
Deposited By: Dr Ebrahim Bedeer Mohamed
Deposited On:21 Feb 2018 16:31
Last Modified:21 Feb 2018 16:31

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