Blind source separation in the physical layer

Alexander N. Tait, Thomas Ferreira De Lima, Philip Y. Ma, Matthew P. Chang, Mitchell A. Nahmias, Bhavin J. Shastri, Prateek Mittal, Paul R. Prucnal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Multi-antenna radio systems exploit spatial inhomogeneity to share wireless resources. Blind source separation is a powerful capability that can reduce many received signals into a salient estimate of independent transmitters. Performing blind source separation in the analog, physical layer promises significant performance improvements but presents a problem in that not all received signals can be observed at the same time. We propose a novel algorithm that synthesizes univariate statistics to reconstruct the multivariate statistical properties required for blind source separation. Using analog photonic hardware, we demonstrate experimental techniques for obtaining the required information while remaining true to realistic constraints on observability. Finally, we provide an example application for using the physical layer to preserve privacy in spectrum monitoring operations. The concepts and techniques developed lay a groundwork for further research in blind multivariate analysis in the high-performance analog domain.

Original languageEnglish (US)
Title of host publication2018 52nd Annual Conference on Information Sciences and Systems, CISS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538605790
DOIs
StatePublished - May 21 2018
Event52nd Annual Conference on Information Sciences and Systems, CISS 2018 - Princeton, United States
Duration: Mar 21 2018Mar 23 2018

Publication series

Name2018 52nd Annual Conference on Information Sciences and Systems, CISS 2018

Other

Other52nd Annual Conference on Information Sciences and Systems, CISS 2018
CountryUnited States
CityPrinceton
Period3/21/183/23/18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems

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