ICASSP 2018accepted0 citations
Detection of Cyclostationarity Using Generalized Coherence
Songsri Sirianunpiboon, Stephen D. Howard, Douglas Cochran
Abstract
A class of detectors for cyclostationarity is introduced. These detectors are based on the use of generalized coherence to measure correlation among two or more collections of random vectors. The generalized coherence framework allows any finite collection of pertinent samples of the cyclic auto-correlation function estimates formed from the measured signal data to be combined into the detection statistic. The performance of this approach is demonstrated and compared against other established cyclostationarity detectors in both a cognitive radio scenario and a multi-channel passive surveillance scenario.
BibTeX
@inproceedings{icassp2018_detectionofcyclo,
title = {Detection of Cyclostationarity Using Generalized Coherence},
author = {Songsri Sirianunpiboon and Stephen D. Howard and Douglas Cochran},
booktitle = {ICASSP 2018},
year = {2018}
}