System requirements for Ka-band Earth-satellite propagation data

Rogers, David; Ippolito, Louis J.; Davarian, F.

doi:10.1109/5.598406

Cited by 29 publications

(19 citation statements)

References 13 publications

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“…In the last few years there has been an increasing request for large-bandwidth communication services characterized by high availability and low-fade margin requirements [1,2]. This scenario has prompted the exploration of channel frequencies at Ka band and above, and the development of sophisticated countermeasure techniques to mitigate outage periods [3}5].…”

Section: Introductionmentioning

confidence: 99%

Potential of combined spaceborne infrared and microwave radiometry for near real‐time rainfall attenuation monitoring along earth‐satellite links

Marzano

Turk

Ciotti

et al. 2001

Int. J. Satell. Commun.

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SUMMARYThe objective of this paper is to investigate how spaceborne remote sensors, and their derived products, can be exploited to optimize the performances of a satellite communication system in the presence of precipitating clouds along the path. The complementarity between sun-synchronous microwave (MW) and geostationary infrared (IR) radiometry for monitoring the earth's atmosphere is discussed and their potential as a rain detection system within near real-time countermeasure techniques for earth-satellite microwave links is analysed. A general approach, consisting in estimating rainfall intensity and attenuation by polar-orbiting microwave radiometers and temporally tracking the rainfall areas by geo-stationary infrared radiometers, is delineated. Multiple regression algorithms for predicting rainfall attenuation from spaceborne brightness temperatures and from surface rainrate, trained by radiative transfer and cloud models, are illustrated. A maximum likelihood technique is delineated to discriminate stratiform and convective rainfall from spaceborne brightness temperatures. The di!erences among attenuation estimates derived from layered raining-cloud structures with respect to those obtained from simple rain slabs, as recommended by ITU-R, are also quanti"ed. A test of the proposed attenuation prediction methods is performed using raingage and Italsat data acquired in Spino d'Adda (Italy) during 1994. A description of the statistical method, based on the probability matching technique, adopted to combine MW and IR data for retrieving and tracking precipitating cloud systems in terms of path attenuation and accumulated rain at ground is "nally provided together with its application to a case study over the Mediterranean area during October 1998.

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Section: Introductionmentioning

confidence: 99%

Potential of combined spaceborne infrared and microwave radiometry for near real‐time rainfall attenuation monitoring along earth‐satellite links

Marzano

Turk

Ciotti

et al. 2001

Int. J. Satell. Commun.

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“…Therefore a reliable system design requires not only accurate estimates of the individual impairments but also an estimate of the statistics of their combined effects especially at higher frequencies (Ka/V band) where the contributions from light rain, clouds and gases are more severe [Rogers et al, 1997]. In this paper two combination methods are applied.…”

Section: Comparison Of Measured Total Attenuation Annual Statistics Wmentioning

confidence: 99%

“…This approach gives an upper bound on the total attenuation for each time percentage [Rogers et al, 1997] and not a total attenuation prediction. Therefore the ITU-R combination method (1) can in many cases lead to system over design and (2) cannot be used for predicting the total attenuation statistics especially at higher frequencies where the attenuation from the clouds and gases is more severe.…”

Section: Gaseous Attenuationmentioning

confidence: 99%

Long‐term statistics of tropospheric attenuation from the Ka/U band ITALSAT satellite experiment in the United Kingdom

2006

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[1] Long-term statistics of tropospheric attenuation were derived from almost 4 years of measurements made in the south of England using the ITALSAT F1 beacon signals at 49.5, 39.6, and 18.7 GHz; coincident rainfall rate measurements were made at the site of the receiving ground station. A method to remove the nonatmospheric changes of the beacon signals and to establish the reference levels from which to measure the excess and total attenuation has been presented in detail. The accuracy of fade level retrieval is estimated to be $±0.5 dB. A new method for predicting the annual total attenuation statistics has been proposed and validated against our data and data collected in Italy at 18.7, 39.6, and 49.5 GHz. For both locations, the new proposed method gives much better predictions compared with the established International Telecommunication Union recommendation method. A significant monthly and seasonal variation was observed in the attenuation and rainfall statistics and should be taken into consideration when planning the design and use of future slant path systems. We have seen that the attenuation statistics are subject to diurnal variations; however, for the period analyzed, this variation does not seem to follow a particular pattern.Citation: Ventouras, S., and C. L. Wrench (2006), Long-term statistics of tropospheric attenuation from the Ka/U band ITALSAT satellite experiment in the United Kingdom, Radio Sci., 41, RS2007,

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“…Similarly, the transition probability matrix of the second-orderMarkov Chain theory P(z|xy) for the five classes is presentedin (4 …”

Section: Markov Model Implementationmentioning

confidence: 99%

Performance Evolution in Satellite Communication Networks Along with Markovian Channel Prediction

Harb¹,

Yu²,

Abdul-Jauwad³

2012

JWNC

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Augmenting accurate predict ion of channel attenuations can be of immense value in improving the quality of signals athigh frequency for satellite co mmunication networks. Such prediction of weather related attenuation factors for the impendingweather conditions based on the weather data and the Markovian theory are the main object of this paper. The paper also describes anintelligent weather aware control system (IWACS) that is used to emp loy the predict ions made fro m Markov model to maintainthe quality of service (QoS) in channels that are impacted by rain, gaseous, cloud, fog, and scintillat ion attenuations. Based onthat, a three dimensional relationship is proposed among estimated at mospheric attenuations, propagation angle, and predictedrainfall rate (RR pr ) at a given location and operational frequency. This novel method of pred icting weather characteristicssupplies valuable data for mit igation planning, and subsequently for developing an algorithm to iteratively tune the IWACS byadaptively selecting appropriate channel frequency, modulation, coding, propagation angle, transmission power level, and datatransmission rate to imp rove the satellite's system performance. So me simulat ion results are presented to show the effectiveness of the proposedscheme.

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System requirements for Ka-band Earth-satellite propagation data

Cited by 29 publications

References 13 publications

Potential of combined spaceborne infrared and microwave radiometry for near real‐time rainfall attenuation monitoring along earth‐satellite links

Potential of combined spaceborne infrared and microwave radiometry for near real‐time rainfall attenuation monitoring along earth‐satellite links

Long‐term statistics of tropospheric attenuation from the Ka/U band ITALSAT satellite experiment in the United Kingdom

Performance Evolution in Satellite Communication Networks Along with Markovian Channel Prediction

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