@inproceedings{8d3e1d6f90d94be5a3f82e61162b6a69,
title = "Improved spectral sensing in cognitive radios using photonic-based principal component analysis",
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.",
keywords = "Analog Signal Processing, Microwave Photonics, RF Photonics",
author = "\{De Lima\}, \{Thomas Ferreira\} and Tait, \{Alexander N.\} and Nahmias, \{Mitchell A.\} and Shastri, \{Bhavin J.\} and Prucnal, \{Paul R.\}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 9th International Conference on Signal Processing and Communication Systems, ICSPCS 2015 ; Conference date: 14-12-2015 Through 16-12-2015",
year = "2015",
doi = "10.1109/ICSPCS.2015.7391750",
language = "English (US)",
series = "2015, 9th International Conference on Signal Processing and Communication Systems, ICSPCS 2015 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Wysocki, \{Beata J.\} and Wysocki, \{Tadeusz A.\}",
booktitle = "2015, 9th International Conference on Signal Processing and Communication Systems, ICSPCS 2015 - Proceedings",
address = "United States",
}