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Low-precision A/d conversion for maximum information rate in channels with memory

  • Technical University of Munich

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

2 Scopus citations

Abstract

We consider the discrete-time channel with intersymbol-interference and additive noise under output analog-to-digital conversion (quantization) at the receiver. The analog-to-digital converter is optimized so as to maximize the information rate between the quantized channel output sequence and the channel input sequence, where the input sequence has independent and identically distributed symbols. An upper bound on the information rate is derived. Simulation results demonstrate the effectiveness of the designed quantizers over conventional quantizers at 1-bit/sample precision. The advantage of those quantizers is further emphasized by an example of a channel for which a simple slicer and a carefully optimized channel input with memory fail to achieve a rate of one bit per channel use at high signal-to-noise ratio, in contrast to memoryless binary signaling and an optimized quantizer.

Original languageEnglish
Title of host publication2011 IEEE International Symposium on Information Theory Proceedings, ISIT 2011
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2602-2606
Number of pages5
ISBN (Print)9781457705953
DOIs
StatePublished - 2011
Event2011 IEEE International Symposium on Information Theory, ISIT 2011 - St. Petersburg, Russian Federation
Duration: Jul 31 2011Aug 5 2011

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8095
ISSN (Electronic)2157-8117

Conference

Conference2011 IEEE International Symposium on Information Theory, ISIT 2011
Country/TerritoryRussian Federation
CitySt. Petersburg
Period07/31/1108/5/11

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