Long Term Irradiance Statistics for Optical GEO Satellite Feeder Links: Validation Against Experimental Data
Abstract In this paper, optical feeder links to support high throuput satellite communication systems are studied. A methodology for the generation of the received irradiance/power time series for GEO optical feeder links (ground-to-GEO), that reproduces the long term irradiance/power statistics, is...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lyras, Nikolaos K. [verfasserIn] Kourogiorgas, Charilaos I. [verfasserIn] Panagopoulos, Athanasios D. [verfasserIn] Liolis, Konstantinos P. [verfasserIn] Sodnik, Zoran [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
Satellite communication systems Optical satellite communications |
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| Übergeordnetes Werk: |
Enthalten in: Wireless personal communications - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994, 114(2020), 1 vom: 28. Apr., Seite 749-764 |
|---|---|
| Übergeordnetes Werk: |
volume:114 ; year:2020 ; number:1 ; day:28 ; month:04 ; pages:749-764 |
| Links: |
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| DOI / URN: |
10.1007/s11277-020-07391-2 |
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| Katalog-ID: |
SPR040621103 |
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| 520 | |a Abstract In this paper, optical feeder links to support high throuput satellite communication systems are studied. A methodology for the generation of the received irradiance/power time series for GEO optical feeder links (ground-to-GEO), that reproduces the long term irradiance/power statistics, is presented. In the proposed synthesizer, the atmospheric phenomena under clear sky that degrade the optical signal and the weak turbulence effects, i.e. scintillation, beam wandering and beam spreading, are considered. The proposed methodology takes advantage of the use of stochastic differential equations driven by fractional Brownian motion, for the time series synthesis. The methodology refers to the transmission of a single collimated beam. For the modelling of turbulence effects, Kolmogorov turbulence is assumed and the model is based on Rytov theory under weak fluctuations. Additionally, the proposed model is validated in terms of first order statistics with experimental data from the bi-directional optical GEO ARTEMIS satellite link experiment showing good agreement. Finally, the synthesizer is employed for the generation of fist order statistics for different transmission scenarios. | ||
| 650 | 4 | |a Satellite communication systems |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Optical satellite communications |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Turbulence |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Stochastic differential equations |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a ARTEMIS |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Kourogiorgas, Charilaos I. |e verfasserin |4 aut | |
| 700 | 1 | |a Panagopoulos, Athanasios D. |e verfasserin |4 aut | |
| 700 | 1 | |a Liolis, Konstantinos P. |e verfasserin |4 aut | |
| 700 | 1 | |a Sodnik, Zoran |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Wireless personal communications |d Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 |g 114(2020), 1 vom: 28. Apr., Seite 749-764 |w (DE-627)271179120 |w (DE-600)1479327-1 |x 1572-834X |7 nnns |
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10.1007/s11277-020-07391-2 doi (DE-627)SPR040621103 (SPR)s11277-020-07391-2-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Lyras, Nikolaos K. verfasserin aut Long Term Irradiance Statistics for Optical GEO Satellite Feeder Links: Validation Against Experimental Data 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, optical feeder links to support high throuput satellite communication systems are studied. A methodology for the generation of the received irradiance/power time series for GEO optical feeder links (ground-to-GEO), that reproduces the long term irradiance/power statistics, is presented. In the proposed synthesizer, the atmospheric phenomena under clear sky that degrade the optical signal and the weak turbulence effects, i.e. scintillation, beam wandering and beam spreading, are considered. The proposed methodology takes advantage of the use of stochastic differential equations driven by fractional Brownian motion, for the time series synthesis. The methodology refers to the transmission of a single collimated beam. For the modelling of turbulence effects, Kolmogorov turbulence is assumed and the model is based on Rytov theory under weak fluctuations. Additionally, the proposed model is validated in terms of first order statistics with experimental data from the bi-directional optical GEO ARTEMIS satellite link experiment showing good agreement. Finally, the synthesizer is employed for the generation of fist order statistics for different transmission scenarios. Satellite communication systems (dpeaa)DE-He213 Optical satellite communications (dpeaa)DE-He213 Turbulence (dpeaa)DE-He213 Stochastic differential equations (dpeaa)DE-He213 ARTEMIS (dpeaa)DE-He213 Kourogiorgas, Charilaos I. verfasserin aut Panagopoulos, Athanasios D. verfasserin aut Liolis, Konstantinos P. verfasserin aut Sodnik, Zoran verfasserin aut Enthalten in Wireless personal communications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 114(2020), 1 vom: 28. Apr., Seite 749-764 (DE-627)271179120 (DE-600)1479327-1 1572-834X nnns volume:114 year:2020 number:1 day:28 month:04 pages:749-764 https://dx.doi.org/10.1007/s11277-020-07391-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE AR 114 2020 1 28 04 749-764 |
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10.1007/s11277-020-07391-2 doi (DE-627)SPR040621103 (SPR)s11277-020-07391-2-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Lyras, Nikolaos K. verfasserin aut Long Term Irradiance Statistics for Optical GEO Satellite Feeder Links: Validation Against Experimental Data 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, optical feeder links to support high throuput satellite communication systems are studied. A methodology for the generation of the received irradiance/power time series for GEO optical feeder links (ground-to-GEO), that reproduces the long term irradiance/power statistics, is presented. In the proposed synthesizer, the atmospheric phenomena under clear sky that degrade the optical signal and the weak turbulence effects, i.e. scintillation, beam wandering and beam spreading, are considered. The proposed methodology takes advantage of the use of stochastic differential equations driven by fractional Brownian motion, for the time series synthesis. The methodology refers to the transmission of a single collimated beam. For the modelling of turbulence effects, Kolmogorov turbulence is assumed and the model is based on Rytov theory under weak fluctuations. Additionally, the proposed model is validated in terms of first order statistics with experimental data from the bi-directional optical GEO ARTEMIS satellite link experiment showing good agreement. Finally, the synthesizer is employed for the generation of fist order statistics for different transmission scenarios. Satellite communication systems (dpeaa)DE-He213 Optical satellite communications (dpeaa)DE-He213 Turbulence (dpeaa)DE-He213 Stochastic differential equations (dpeaa)DE-He213 ARTEMIS (dpeaa)DE-He213 Kourogiorgas, Charilaos I. verfasserin aut Panagopoulos, Athanasios D. verfasserin aut Liolis, Konstantinos P. verfasserin aut Sodnik, Zoran verfasserin aut Enthalten in Wireless personal communications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 114(2020), 1 vom: 28. Apr., Seite 749-764 (DE-627)271179120 (DE-600)1479327-1 1572-834X nnns volume:114 year:2020 number:1 day:28 month:04 pages:749-764 https://dx.doi.org/10.1007/s11277-020-07391-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE AR 114 2020 1 28 04 749-764 |
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10.1007/s11277-020-07391-2 doi (DE-627)SPR040621103 (SPR)s11277-020-07391-2-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Lyras, Nikolaos K. verfasserin aut Long Term Irradiance Statistics for Optical GEO Satellite Feeder Links: Validation Against Experimental Data 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, optical feeder links to support high throuput satellite communication systems are studied. A methodology for the generation of the received irradiance/power time series for GEO optical feeder links (ground-to-GEO), that reproduces the long term irradiance/power statistics, is presented. In the proposed synthesizer, the atmospheric phenomena under clear sky that degrade the optical signal and the weak turbulence effects, i.e. scintillation, beam wandering and beam spreading, are considered. The proposed methodology takes advantage of the use of stochastic differential equations driven by fractional Brownian motion, for the time series synthesis. The methodology refers to the transmission of a single collimated beam. For the modelling of turbulence effects, Kolmogorov turbulence is assumed and the model is based on Rytov theory under weak fluctuations. Additionally, the proposed model is validated in terms of first order statistics with experimental data from the bi-directional optical GEO ARTEMIS satellite link experiment showing good agreement. Finally, the synthesizer is employed for the generation of fist order statistics for different transmission scenarios. Satellite communication systems (dpeaa)DE-He213 Optical satellite communications (dpeaa)DE-He213 Turbulence (dpeaa)DE-He213 Stochastic differential equations (dpeaa)DE-He213 ARTEMIS (dpeaa)DE-He213 Kourogiorgas, Charilaos I. verfasserin aut Panagopoulos, Athanasios D. verfasserin aut Liolis, Konstantinos P. verfasserin aut Sodnik, Zoran verfasserin aut Enthalten in Wireless personal communications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 114(2020), 1 vom: 28. Apr., Seite 749-764 (DE-627)271179120 (DE-600)1479327-1 1572-834X nnns volume:114 year:2020 number:1 day:28 month:04 pages:749-764 https://dx.doi.org/10.1007/s11277-020-07391-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE AR 114 2020 1 28 04 749-764 |
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10.1007/s11277-020-07391-2 doi (DE-627)SPR040621103 (SPR)s11277-020-07391-2-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Lyras, Nikolaos K. verfasserin aut Long Term Irradiance Statistics for Optical GEO Satellite Feeder Links: Validation Against Experimental Data 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, optical feeder links to support high throuput satellite communication systems are studied. A methodology for the generation of the received irradiance/power time series for GEO optical feeder links (ground-to-GEO), that reproduces the long term irradiance/power statistics, is presented. In the proposed synthesizer, the atmospheric phenomena under clear sky that degrade the optical signal and the weak turbulence effects, i.e. scintillation, beam wandering and beam spreading, are considered. The proposed methodology takes advantage of the use of stochastic differential equations driven by fractional Brownian motion, for the time series synthesis. The methodology refers to the transmission of a single collimated beam. For the modelling of turbulence effects, Kolmogorov turbulence is assumed and the model is based on Rytov theory under weak fluctuations. Additionally, the proposed model is validated in terms of first order statistics with experimental data from the bi-directional optical GEO ARTEMIS satellite link experiment showing good agreement. Finally, the synthesizer is employed for the generation of fist order statistics for different transmission scenarios. Satellite communication systems (dpeaa)DE-He213 Optical satellite communications (dpeaa)DE-He213 Turbulence (dpeaa)DE-He213 Stochastic differential equations (dpeaa)DE-He213 ARTEMIS (dpeaa)DE-He213 Kourogiorgas, Charilaos I. verfasserin aut Panagopoulos, Athanasios D. verfasserin aut Liolis, Konstantinos P. verfasserin aut Sodnik, Zoran verfasserin aut Enthalten in Wireless personal communications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 114(2020), 1 vom: 28. Apr., Seite 749-764 (DE-627)271179120 (DE-600)1479327-1 1572-834X nnns volume:114 year:2020 number:1 day:28 month:04 pages:749-764 https://dx.doi.org/10.1007/s11277-020-07391-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE AR 114 2020 1 28 04 749-764 |
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10.1007/s11277-020-07391-2 doi (DE-627)SPR040621103 (SPR)s11277-020-07391-2-e DE-627 ger DE-627 rakwb eng 620 ASE 53.00 bkl Lyras, Nikolaos K. verfasserin aut Long Term Irradiance Statistics for Optical GEO Satellite Feeder Links: Validation Against Experimental Data 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, optical feeder links to support high throuput satellite communication systems are studied. A methodology for the generation of the received irradiance/power time series for GEO optical feeder links (ground-to-GEO), that reproduces the long term irradiance/power statistics, is presented. In the proposed synthesizer, the atmospheric phenomena under clear sky that degrade the optical signal and the weak turbulence effects, i.e. scintillation, beam wandering and beam spreading, are considered. The proposed methodology takes advantage of the use of stochastic differential equations driven by fractional Brownian motion, for the time series synthesis. The methodology refers to the transmission of a single collimated beam. For the modelling of turbulence effects, Kolmogorov turbulence is assumed and the model is based on Rytov theory under weak fluctuations. Additionally, the proposed model is validated in terms of first order statistics with experimental data from the bi-directional optical GEO ARTEMIS satellite link experiment showing good agreement. Finally, the synthesizer is employed for the generation of fist order statistics for different transmission scenarios. Satellite communication systems (dpeaa)DE-He213 Optical satellite communications (dpeaa)DE-He213 Turbulence (dpeaa)DE-He213 Stochastic differential equations (dpeaa)DE-He213 ARTEMIS (dpeaa)DE-He213 Kourogiorgas, Charilaos I. verfasserin aut Panagopoulos, Athanasios D. verfasserin aut Liolis, Konstantinos P. verfasserin aut Sodnik, Zoran verfasserin aut Enthalten in Wireless personal communications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1994 114(2020), 1 vom: 28. Apr., Seite 749-764 (DE-627)271179120 (DE-600)1479327-1 1572-834X nnns volume:114 year:2020 number:1 day:28 month:04 pages:749-764 https://dx.doi.org/10.1007/s11277-020-07391-2 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 53.00 ASE AR 114 2020 1 28 04 749-764 |
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Enthalten in Wireless personal communications 114(2020), 1 vom: 28. Apr., Seite 749-764 volume:114 year:2020 number:1 day:28 month:04 pages:749-764 |
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Enthalten in Wireless personal communications 114(2020), 1 vom: 28. Apr., Seite 749-764 volume:114 year:2020 number:1 day:28 month:04 pages:749-764 |
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Satellite communication systems Optical satellite communications Turbulence Stochastic differential equations ARTEMIS |
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Lyras, Nikolaos K. @@aut@@ Kourogiorgas, Charilaos I. @@aut@@ Panagopoulos, Athanasios D. @@aut@@ Liolis, Konstantinos P. @@aut@@ Sodnik, Zoran @@aut@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR040621103</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220111061904.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2020 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11277-020-07391-2</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR040621103</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s11277-020-07391-2-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">53.00</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Lyras, Nikolaos K.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Long Term Irradiance Statistics for Optical GEO Satellite Feeder Links: Validation Against Experimental Data</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In this paper, optical feeder links to support high throuput satellite communication systems are studied. A methodology for the generation of the received irradiance/power time series for GEO optical feeder links (ground-to-GEO), that reproduces the long term irradiance/power statistics, is presented. In the proposed synthesizer, the atmospheric phenomena under clear sky that degrade the optical signal and the weak turbulence effects, i.e. scintillation, beam wandering and beam spreading, are considered. The proposed methodology takes advantage of the use of stochastic differential equations driven by fractional Brownian motion, for the time series synthesis. The methodology refers to the transmission of a single collimated beam. For the modelling of turbulence effects, Kolmogorov turbulence is assumed and the model is based on Rytov theory under weak fluctuations. Additionally, the proposed model is validated in terms of first order statistics with experimental data from the bi-directional optical GEO ARTEMIS satellite link experiment showing good agreement. 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Lyras, Nikolaos K. |
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Lyras, Nikolaos K. ddc 620 bkl 53.00 misc Satellite communication systems misc Optical satellite communications misc Turbulence misc Stochastic differential equations misc ARTEMIS Long Term Irradiance Statistics for Optical GEO Satellite Feeder Links: Validation Against Experimental Data |
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620 ASE 53.00 bkl Long Term Irradiance Statistics for Optical GEO Satellite Feeder Links: Validation Against Experimental Data Satellite communication systems (dpeaa)DE-He213 Optical satellite communications (dpeaa)DE-He213 Turbulence (dpeaa)DE-He213 Stochastic differential equations (dpeaa)DE-He213 ARTEMIS (dpeaa)DE-He213 |
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Long Term Irradiance Statistics for Optical GEO Satellite Feeder Links: Validation Against Experimental Data |
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Long Term Irradiance Statistics for Optical GEO Satellite Feeder Links: Validation Against Experimental Data |
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Lyras, Nikolaos K. |
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Lyras, Nikolaos K. Kourogiorgas, Charilaos I. Panagopoulos, Athanasios D. Liolis, Konstantinos P. Sodnik, Zoran |
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long term irradiance statistics for optical geo satellite feeder links: validation against experimental data |
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Long Term Irradiance Statistics for Optical GEO Satellite Feeder Links: Validation Against Experimental Data |
| abstract |
Abstract In this paper, optical feeder links to support high throuput satellite communication systems are studied. A methodology for the generation of the received irradiance/power time series for GEO optical feeder links (ground-to-GEO), that reproduces the long term irradiance/power statistics, is presented. In the proposed synthesizer, the atmospheric phenomena under clear sky that degrade the optical signal and the weak turbulence effects, i.e. scintillation, beam wandering and beam spreading, are considered. The proposed methodology takes advantage of the use of stochastic differential equations driven by fractional Brownian motion, for the time series synthesis. The methodology refers to the transmission of a single collimated beam. For the modelling of turbulence effects, Kolmogorov turbulence is assumed and the model is based on Rytov theory under weak fluctuations. Additionally, the proposed model is validated in terms of first order statistics with experimental data from the bi-directional optical GEO ARTEMIS satellite link experiment showing good agreement. Finally, the synthesizer is employed for the generation of fist order statistics for different transmission scenarios. |
| abstractGer |
Abstract In this paper, optical feeder links to support high throuput satellite communication systems are studied. A methodology for the generation of the received irradiance/power time series for GEO optical feeder links (ground-to-GEO), that reproduces the long term irradiance/power statistics, is presented. In the proposed synthesizer, the atmospheric phenomena under clear sky that degrade the optical signal and the weak turbulence effects, i.e. scintillation, beam wandering and beam spreading, are considered. The proposed methodology takes advantage of the use of stochastic differential equations driven by fractional Brownian motion, for the time series synthesis. The methodology refers to the transmission of a single collimated beam. For the modelling of turbulence effects, Kolmogorov turbulence is assumed and the model is based on Rytov theory under weak fluctuations. Additionally, the proposed model is validated in terms of first order statistics with experimental data from the bi-directional optical GEO ARTEMIS satellite link experiment showing good agreement. Finally, the synthesizer is employed for the generation of fist order statistics for different transmission scenarios. |
| abstract_unstemmed |
Abstract In this paper, optical feeder links to support high throuput satellite communication systems are studied. A methodology for the generation of the received irradiance/power time series for GEO optical feeder links (ground-to-GEO), that reproduces the long term irradiance/power statistics, is presented. In the proposed synthesizer, the atmospheric phenomena under clear sky that degrade the optical signal and the weak turbulence effects, i.e. scintillation, beam wandering and beam spreading, are considered. The proposed methodology takes advantage of the use of stochastic differential equations driven by fractional Brownian motion, for the time series synthesis. The methodology refers to the transmission of a single collimated beam. For the modelling of turbulence effects, Kolmogorov turbulence is assumed and the model is based on Rytov theory under weak fluctuations. Additionally, the proposed model is validated in terms of first order statistics with experimental data from the bi-directional optical GEO ARTEMIS satellite link experiment showing good agreement. Finally, the synthesizer is employed for the generation of fist order statistics for different transmission scenarios. |
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| title_short |
Long Term Irradiance Statistics for Optical GEO Satellite Feeder Links: Validation Against Experimental Data |
| url |
https://dx.doi.org/10.1007/s11277-020-07391-2 |
| remote_bool |
true |
| author2 |
Kourogiorgas, Charilaos I. Panagopoulos, Athanasios D. Liolis, Konstantinos P. Sodnik, Zoran |
| author2Str |
Kourogiorgas, Charilaos I. Panagopoulos, Athanasios D. Liolis, Konstantinos P. Sodnik, Zoran |
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| doi_str |
10.1007/s11277-020-07391-2 |
| up_date |
2024-07-03T17:10:47.636Z |
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|
| score |
7.402214 |