ARTM Telemetry Waveforms Demodulator Analysis
This paper shows how the potential performance of ARTM signal [1] demodulator is related to its aperture and digital quantization noise. The first parameter (aperture) is a function of the architecture, while the second (quantization noise), depends on the digital implementation [2] of demodulator....
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ndltd-arizona.edu-oai-arizona.openrepository.com-10150-5818412015-11-11T03:02:32Z ARTM Telemetry Waveforms Demodulator Analysis Dourbal, Paul L-3 Telemetry East This paper shows how the potential performance of ARTM signal [1] demodulator is related to its aperture and digital quantization noise. The first parameter (aperture) is a function of the architecture, while the second (quantization noise), depends on the digital implementation [2] of demodulator. Unified representation of the demodulator architecture as a matrix to vector product with the subsequent choice of maximum energy term was used in this paper to model performance of the demodulator for constant-envelope signals such as Tier-0 (PCM/FM), Tier-I (BPSK, QPSK, OQPSK, SOQPSK), and Tier-II (multi-h CPM). We will demonstrate how, when given a level of quantization noise and aperture width defined by the demodulator implementation, we can predict demodulator performance. Matlab/Simulink models demonstrating the performance of some demodulators will be presented and discussed. 2012-10 text Proceedings 0884-5123 0074-9079 http://hdl.handle.net/10150/581841 International Telemetering Conference Proceedings en_US http://www.telemetry.org/ Copyright © held by the author; distribution rights International Foundation for Telemetering International Foundation for Telemetering |
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description |
This paper shows how the potential performance of ARTM signal [1] demodulator is related to its aperture and digital quantization noise. The first parameter (aperture) is a function of the architecture, while the second (quantization noise), depends on the digital implementation [2] of demodulator. Unified representation of the demodulator architecture as a matrix to vector product with the subsequent choice of maximum energy term was used in this paper to model performance of the demodulator for constant-envelope signals such as Tier-0 (PCM/FM), Tier-I (BPSK, QPSK, OQPSK, SOQPSK), and Tier-II (multi-h CPM). We will demonstrate how, when given a level of quantization noise and aperture width defined by the demodulator implementation, we can predict demodulator performance. Matlab/Simulink models demonstrating the performance of some demodulators will be presented and discussed. |
author2 |
L-3 Telemetry East |
author_facet |
L-3 Telemetry East Dourbal, Paul |
author |
Dourbal, Paul |
spellingShingle |
Dourbal, Paul ARTM Telemetry Waveforms Demodulator Analysis |
author_sort |
Dourbal, Paul |
title |
ARTM Telemetry Waveforms Demodulator Analysis |
title_short |
ARTM Telemetry Waveforms Demodulator Analysis |
title_full |
ARTM Telemetry Waveforms Demodulator Analysis |
title_fullStr |
ARTM Telemetry Waveforms Demodulator Analysis |
title_full_unstemmed |
ARTM Telemetry Waveforms Demodulator Analysis |
title_sort |
artm telemetry waveforms demodulator analysis |
publisher |
International Foundation for Telemetering |
publishDate |
2012 |
url |
http://hdl.handle.net/10150/581841 |
work_keys_str_mv |
AT dourbalpaul artmtelemetrywaveformsdemodulatoranalysis |
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1718127339161780224 |