Measuring and Evaluating Best Source Selection
| dc.contributor.author | Corry, Diarmuid | |
| dc.date.accessioned | 2016-04-20T17:39:23Z | en |
| dc.date.available | 2016-04-20T17:39:23Z | en |
| dc.date.issued | 2009-10 | en |
| dc.identifier.issn | 0884-5123 | en |
| dc.identifier.issn | 0074-9079 | en |
| dc.identifier.uri | http://hdl.handle.net/10150/606115 | en |
| dc.description | ITC/USA 2009 Conference Proceedings / The Forty-Fifth Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2009 / Riviera Hotel & Convention Center, Las Vegas, Nevada | en_US |
| dc.description.abstract | To properly evaluate and characterize the performance of a bit synchronizer we need to apply a known data stream and then adjust several interference parameters to measure the effect on synchronization performance: white noise, offset and gain variations and frequency and phase shifts. The task becomes more complex when we consider the performance of a best source selector (BSS) which combines the performance of two or more bit synchronizers to achieve better bit error rates and more consistent synchronization than can be achieved with one alone. Each of the parameters (noise, offset, gain, phase) are often different for each bit synchronizer, and may vary over time. In addition the incoming bit streams can drift in time (possibly 100s of bits) with respect to each other. This paper discusses how these parameters are measured, and looks in particular at the problem of evaluating a BSS. Results showing the performance that can be achieved when aligning and combining multiple streams are presented and discussed. | |
| dc.description.sponsorship | International Foundation for Telemetering | en |
| dc.language.iso | en_US | en |
| dc.publisher | International Foundation for Telemetering | en |
| dc.relation.url | http://www.telemetry.org/ | en |
| dc.rights | Copyright © held by the author; distribution rights International Foundation for Telemetering | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
| dc.title | Measuring and Evaluating Best Source Selection | en_US |
| dc.type | text | en |
| dc.type | Proceedings | en |
| dc.contributor.department | ACRA Control Inc. | en |
| dc.identifier.journal | International Telemetering Conference Proceedings | en |
| dc.description.collectioninformation | 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. | en |
| refterms.dateFOA | 2018-05-27T13:33:58Z | |
| html.description.abstract | To properly evaluate and characterize the performance of a bit synchronizer we need to apply a known data stream and then adjust several interference parameters to measure the effect on synchronization performance: white noise, offset and gain variations and frequency and phase shifts. The task becomes more complex when we consider the performance of a best source selector (BSS) which combines the performance of two or more bit synchronizers to achieve better bit error rates and more consistent synchronization than can be achieved with one alone. Each of the parameters (noise, offset, gain, phase) are often different for each bit synchronizer, and may vary over time. In addition the incoming bit streams can drift in time (possibly 100s of bits) with respect to each other. This paper discusses how these parameters are measured, and looks in particular at the problem of evaluating a BSS. Results showing the performance that can be achieved when aligning and combining multiple streams are presented and discussed. |
