Prediction of tropospheric scintillation on satellite links from radiosonde data

Vasseur, H.

doi:10.1109/8.761069

Cited by 59 publications

(63 citation statements)

References 10 publications

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“…In other words, the WS variances follow a lognormal distribution at the individual level. The skewed, nonnegative nature of the log-normal distribution makes it a reasonable choice for representing variances, and it has been used in many diverse research areas for this purpose (Leonard, 1975;Shenk, White, and Burnhamb, 1998;Fowler and Whitlock, 1999;Vasseur, 1999;Renò and Rizza, 2003).…”

Section: Mixed Location Scale Modelmentioning

confidence: 99%

An Application of a Mixed‐Effects Location Scale Model for Analysis of Ecological Momentary Assessment (EMA) Data

2008

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SummaryFor longitudinal data, mixed models include random subject effects to indicate how subjects influence their responses over repeated assessments. The error variance and the variance of the random effects are usually considered to be homogeneous. These variance terms characterize the within-subjects (i.e., error variance) and between-subjects (i.e., random-effects variance) variation in the data. In studies using ecological momentary assessment (EMA), up to 30 or 40 observations are often obtained for each subject, and interest frequently centers around changes in the variances, both within and between subjects. In this article, we focus on an adolescent smoking study using EMA where interest is on characterizing changes in mood variation. We describe how covariates can influence the mood variances, and also extend the standard mixed model by adding a subject-level random effect to the within-subject variance specification. This permits subjects to have influence on the mean, or location, and variability, or (square of the) scale, of their mood responses. Additionally, we allow the location and scale random effects to be correlated. These mixed-effects location scale models have useful applications in many research areas where interest centers on the joint modeling of the mean and variance structure.

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Section: Mixed Location Scale Modelmentioning

confidence: 99%

An Application of a Mixed‐Effects Location Scale Model for Analysis of Ecological Momentary Assessment (EMA) Data

2008

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“…Tropospheric scintillation is characterized by two main parameters [3] . Firstly, the log-amplitude χ (in decibels) which is, the ratio of the instantaneous amplitude of the observed signal to the mean amplitude, expressed in decibels (dB).…”

Section: Description Of Sintillation Effectsmentioning

confidence: 99%

“…Firstly, the log-amplitude χ (in decibels) which is, the ratio of the instantaneous amplitude of the observed signal to the mean amplitude, expressed in decibels (dB). The mean amplitude is generally calculated by a 60-s moving average filter (cutoff frequency around 0.025 Hz) [3] in order to separate rapid turbulence induced scintillation from spacecraft-induced variations and contributions of other propagation factors Secondly, the scintillation variance, σ 2 in dB 2 ; that is, the variance of the log-amplitude χ. In order to produce a good estimator of the instantaneous scintillation effect and accounting for its time-variability, the variance is generally calculated in sliding way over about one minute [3].…”

Section: Description Of Sintillation Effectsmentioning

confidence: 99%

“…Within this period, the scintillation intensity remains constant and the scintillation log-amplitude distribution can be fitted quite well by a zero-mean Gaussian distribution, whose scintillation intensity is the mean scintillation intensity during the period. For a period longer than several minutes, the variability of σ, must be taken into account and the long-term probability density function (PDF) of the scintillation amplitude can be modeled by a Gaussian distribution with lognormally distributed scintillation intensity [3] .The cumulative distribution P(χ > χ o ) of χ can be written as.…”

Section: Description Of Sintillation Effectsmentioning

confidence: 99%

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Analysis of Tropospheric Scintillation Intensity on Earth to Space in Malaysia

Singh¹,

Hassan²,

Ain³

et al. 2006

American J. of Applied Sciences

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This paper presents the results of a study on tropospheric scintillation on satellite link that has been performed at University Sains Malaysia (USM) to obtain statistics of scintillation from the 12.255 GHz Superbird C satellite with an elevation angle of 40.1 0 . The objective of this analysis was to determine whether the long-term scintillation follows the log normal or gamma distribution. It was found that the long term probability distribution follows the log-normal distribution. The short term probability distribution also follows the log-normal model for the driest and the wettest month. It has been proven that the log-normal model is also suitable for prediction at moderate angles.

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“…In order to meet up with the challenges, there is a need to adapt some features into the system designs among which involved increase of channel frequency and the decrease of the antenna aperture and elevation angle. Aside rain attenuation effect on signal operating at high frequencies (> 10 GHz), tropospheric scintillations have been described as one of the major problems in the link budget design of microwave and millimeter-wave communication systems [4][5][6]. It results in a significant degradation of the signal-to-noise ratio (up to several decibels) and their effects increase as the operating frequency increases and the look-angle elevation of the satellite decreases.…”

Section: Introductionmentioning

confidence: 99%

Experimental analysis and comparison of tropospheric scintillation prediction models using eutelsat-36b satellite in a tropical Nigeria

Ojo

Rabiu

Radicella

et al. 2017

IJBAS

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Knowledge on clear-air effects is of paramount importance to proper link budgeting for optimum communication systems design performances. In this paper, one-year (January - December 2013) tropospheric scintillation data are extracted from the EUTELSAT-36B Ku-band satellite measurements installed at Akure (Lat: 7.17 oN, Long: 5.18 oE, Alt: 358 m) for statistical analysis and the result compared with some established troposphere scintillation models in order to obtain the best prediction model performance for this region. The result shows that even in the absence of rain, tropospheric scintillation shows a strong seasonal effect in this region up to amplitude above 0.92 dB. The scintillation intensity fits better to gamma distribution at a high scintillation level taken into consideration the local meteorological parameters. Models comparison with experimental data also shows that the Karasawa model with the lowest percentage error of about 7% was found to be best fit for predicting propagation impairment relating to be fading at a Ku band frequency in this region. The overall results will provide information on scintillation margin needed for sizing antennas and amplifiers for reliable performance and the average bit-error probability on a scintillation-degraded digital satellite link in this region.

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Prediction of tropospheric scintillation on satellite links from radiosonde data

Cited by 59 publications

References 10 publications

An Application of a Mixed‐Effects Location Scale Model for Analysis of Ecological Momentary Assessment (EMA) Data

An Application of a Mixed‐Effects Location Scale Model for Analysis of Ecological Momentary Assessment (EMA) Data

Analysis of Tropospheric Scintillation Intensity on Earth to Space in Malaysia

Experimental analysis and comparison of tropospheric scintillation prediction models using eutelsat-36b satellite in a tropical Nigeria

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