Improved spectral sensing in cognitive radios using photonic-based principal component analysis

Thomas Ferreira De Lima, Alexander N. Tait, Mitchell A. Nahmias, Bhavin J. Shastri, Paul R. Prucnal

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

Abstract

We propose and experimentally demonstrate a microwave photonic system that iteratively performs principal component analysis on partially correlated, 8-channel, 13 Gbaud signals. The system that is presented is able to adapt to oscillations in interchannel correlations and follow changing principal components. The system provides advantages in bandwidth performance and fan-in scalability that are far superior to electronic counterparts. Wideband, multidimensional techniques are relevant to >10 GHz cognitive radio systems and could bring solutions for intelligent radio communications and information sensing, including spectral sensing.

Original languageEnglish (US)
Title of host publication2015, 9th International Conference on Signal Processing and Communication Systems, ICSPCS 2015 - Proceedings
EditorsBeata J. Wysocki, Tadeusz A. Wysocki
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467381185
DOIs
StatePublished - Jan 1 2015
Event9th International Conference on Signal Processing and Communication Systems, ICSPCS 2015 - Cairns, Australia
Duration: Dec 14 2015Dec 16 2015

Publication series

Name2015, 9th International Conference on Signal Processing and Communication Systems, ICSPCS 2015 - Proceedings

Other

Other9th International Conference on Signal Processing and Communication Systems, ICSPCS 2015
CountryAustralia
CityCairns
Period12/14/1512/16/15

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Signal Processing

Keywords

  • Analog Signal Processing
  • Microwave Photonics
  • RF Photonics

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