Persistent Link:
http://hdl.handle.net/10150/577475
Title:
Long Range Channel Predication in Aeronautical Telemetry
Author:
Wylie, Marilynn P.
Affiliation:
Open Door Technologies, LLC
Issue Date:
2014-10
Rights:
Copyright © held by the author; distribution rights International Foundation for Telemetering
Collection Information:
Proceedings 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.
Publisher:
International Foundation for Telemetering
Journal:
International Telemetering Conference Proceedings
Abstract:
Long range prediction exploits the principal that the memory span of a predictive filter increases when it samples the input signal at a lower rate. Within the context of a communication system that employs adaptive modulation and coding communication, this implies that by measuring the channel at a rate that is minimally twice the highest Doppler frequency rather than twice the data rate (the latter typically being orders of magnitude greater than the former), one can predict the channel fades much farther ahead into the future. In this paper, we consider an application of a recursive weighted least squares estimation (WLSE) algorithm to the problem of long range channel prediction. The algorithm is applied to ten sets of channel measurements that have been made during channel sounding exercises on the Edwards Air Force Base test range and include the following scenarios: taxiway, takeoff, in-flight and final approach & landing. In this subset of the measurement campaigns, the test article speed varies from ≈ 5 m/s along the taxiway to ≈ 100 m/s while in flight. As our results show, the algorithm can be used in real time to predict several milliseconds in the future while using a modest number of filter coefficients (d = 2 and d = 4 are considered), thus demonstrating that channel prediction is viable in the aeronautical telemetry testing environment.
Sponsors:
International Foundation for Telemetering
ISSN:
0884-5123; 0074-9079
Additional Links:
http://www.telemetry.org/

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.titleLong Range Channel Predication in Aeronautical Telemetryen_US
dc.contributor.authorWylie, Marilynn P.en
dc.contributor.departmentOpen Door Technologies, LLCen
dc.date.issued2014-10en
dc.rightsCopyright © held by the author; distribution rights International Foundation for Telemeteringen_US
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
dc.publisherInternational Foundation for Telemeteringen
dc.description.abstractLong range prediction exploits the principal that the memory span of a predictive filter increases when it samples the input signal at a lower rate. Within the context of a communication system that employs adaptive modulation and coding communication, this implies that by measuring the channel at a rate that is minimally twice the highest Doppler frequency rather than twice the data rate (the latter typically being orders of magnitude greater than the former), one can predict the channel fades much farther ahead into the future. In this paper, we consider an application of a recursive weighted least squares estimation (WLSE) algorithm to the problem of long range channel prediction. The algorithm is applied to ten sets of channel measurements that have been made during channel sounding exercises on the Edwards Air Force Base test range and include the following scenarios: taxiway, takeoff, in-flight and final approach & landing. In this subset of the measurement campaigns, the test article speed varies from ≈ 5 m/s along the taxiway to ≈ 100 m/s while in flight. As our results show, the algorithm can be used in real time to predict several milliseconds in the future while using a modest number of filter coefficients (d = 2 and d = 4 are considered), thus demonstrating that channel prediction is viable in the aeronautical telemetry testing environment.en
dc.description.sponsorshipInternational Foundation for Telemeteringen
dc.identifier.issn0884-5123en
dc.identifier.issn0074-9079en
dc.identifier.urihttp://hdl.handle.net/10150/577475en
dc.identifier.journalInternational Telemetering Conference Proceedingsen
dc.typetexten
dc.typeProceedingsen
dc.relation.urlhttp://www.telemetry.org/en
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