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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Main Author: Dourbal, Paul
Other Authors: L-3 Telemetry East
Language:en_US
Published: International Foundation for Telemetering 2012
Online Access:http://hdl.handle.net/10150/581841
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spelling 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
collection NDLTD
language en_US
sources NDLTD
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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