Distributed recovery of a Gaussian source in interference with successive lattice processing

Christian Chapman, Matthew Kinsinger, Ameya Agaskar, Daniel W. Bliss

Research output: Contribution to journalArticle

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Abstract

A scheme for recovery of a signal by distributed listeners in the presence of Gaussian interference is constructed by exhausting an "iterative power reduction" property. An upper bound for the scheme's achieved mean-squared-error distortion is derived. The strategy exposes a parameter search problem, which, when solved, causes the scheme to outperform others of its kind. Performance of a blocklength-one scheme is simulated and is seen to improve over plain source coding without compression in the presence of many interferers, and experiences less outages over ensembles of channels.

Original languageEnglish (US)
Article number845
JournalEntropy
Volume21
Issue number9
DOIs
StatePublished - Jan 1 2019

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Keywords

  • Distributed source coding
  • Lattice codes
  • Network information theory

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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