MLP/BP-based soft DFEs with bit-interleaved TCM for distorted 16-QAM signal recovery in severe ISI channels

Terng Ren Hsu*, Terng-Yin Hsu, Chien Ching Lin, Su Wei Fang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this work, we base on multi-layered perceptron neural networks with backpropagation algorithm (MLP/BP) to construct soft decision feedback equalizers (DFEs). The proposal is used to recover distorted 16-point quadrature amplitude modulation (16-QAM) signal. For better performance, error control codes (ECC) are applied to enhance the accuracy of the transmitted data. From the simulations, we note that the MLP/BP-based soft DFEs with bitinterleaved TCM can recover severe distorted 16-QAM data as well as suppress intersymbol interference (ISI) and background additive white Gaussian noise (AWGN). As compared with the LMS DFE, the proposed scheme can provide better bit-error-rate (BER) and packet-error-rate (PER) performance.

Original languageEnglish
Title of host publicationInternational Microsystems Packaging Assembly and Circuits Technology Conference, IMPACT 2010 and International 3D IC Conference, Proceedings
DOIs
StatePublished - 1 Dec 2010
Event2010 5th International Microsystems, Packaging, Assembly and Circuits Technology Conference, IMPACT 2010 and International 3D IC Conference - Taipei, Taiwan
Duration: 20 Oct 201022 Oct 2010

Publication series

NameInternational Microsystems Packaging Assembly and Circuits Technology Conference, IMPACT 2010 and International 3D IC Conference, Proceedings

Conference

Conference2010 5th International Microsystems, Packaging, Assembly and Circuits Technology Conference, IMPACT 2010 and International 3D IC Conference
CountryTaiwan
CityTaipei
Period20/10/1022/10/10

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