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dc.contributor.authorFrogget, Jacob
dc.contributor.authorRice, Michael
dc.date.accessioned2015-10-14T16:39:18Zen
dc.date.available2015-10-14T16:39:18Zen
dc.date.issued2013-10en
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/579662en
dc.descriptionITC/USA 2013 Conference Proceedings / The Forty-Ninth Annual International Telemetering Conference and Technical Exhibition / October 21-24, 2013 / Bally's Hotel & Convention Center, Las Vegas, NVen_US
dc.description.abstractThis paper applies the Bianchi-Loubaton-Sirven technique to classification algorithm capable of distinguishing between PCM/FM and SOQPSK-TG. A happy byproduct of the classification algorithm is a reasonably accurate estimate of the bit rate. The classifier is based on the observation that CPM with an integer modulation index contains harmonics at multiples of the symbol rate. The algorithm is based on the CPM representations of PCM/FM and SOQPSK-TG and leverages the property that applying a g-order nonlinearity to any CPM creates a new CPM with modulation index g times the original modulation index. No prior knowledge of the data is assumed. The technique is applied to distinguish between PCM/FM and SOQPSK-TG. Simulation results show that the classifier works essentially error-free for signal-to-noise ratios above 20 dB and for sufficiently high resolution in the search algorithms required by the maximizations.
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.language.isoen_USen
dc.publisherInternational Foundation for Telemeteringen
dc.relation.urlhttp://www.telemetry.org/en
dc.rightsCopyright © held by the author; distribution rights International Foundation for Telemeteringen_US
dc.titleAutomatic Modulation Recognition for Aeronautical Telemetryen_US
dc.typetexten
dc.typeProceedingsen
dc.contributor.departmentBrigham Young Universityen
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.description.collectioninformationProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection.en_US
refterms.dateFOA2018-09-10T14:51:36Z
html.description.abstractThis paper applies the Bianchi-Loubaton-Sirven technique to classification algorithm capable of distinguishing between PCM/FM and SOQPSK-TG. A happy byproduct of the classification algorithm is a reasonably accurate estimate of the bit rate. The classifier is based on the observation that CPM with an integer modulation index contains harmonics at multiples of the symbol rate. The algorithm is based on the CPM representations of PCM/FM and SOQPSK-TG and leverages the property that applying a g-order nonlinearity to any CPM creates a new CPM with modulation index g times the original modulation index. No prior knowledge of the data is assumed. The technique is applied to distinguish between PCM/FM and SOQPSK-TG. Simulation results show that the classifier works essentially error-free for signal-to-noise ratios above 20 dB and for sufficiently high resolution in the search algorithms required by the maximizations.


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