Tropospheric Scintillation With Concurrent Rain Attenuation at 50 GHz in Madrid

Garcia‐del‐Pino, Pedro; Riera, José Manuel; Benarroch, Ana

doi:10.1109/tap.2011.2180326

Cited by 29 publications

(19 citation statements)

References 18 publications

(33 reference statements)

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“…After the filtering process, the resulting data consists of positive (enhancement) and negative (fade) scintillation amplitude fluctuations above the mean level. The scintillation intensity is calculated as the standard deviation of the amplitude fluctuations over 1 min (Garcia-del-Pino et al 2012).…”

Section: Discussionmentioning

confidence: 99%

Comparison of tropospheric scintillation prediction models of the Indonesian climate

Chen

Singh

2014

Earth Planet Sp

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Tropospheric scintillation is a phenomenon that will cause signal degradation in satellite communication with low fade margin. Few studies of scintillation have been conducted in tropical regions. To analyze tropospheric scintillation, we obtain data from a satellite link installed at Bandung, Indonesia, at an elevation angle of 64.7°and a frequency of 12.247 GHz from 1999 to 2000. The data are processed and compared with the predictions of several well-known scintillation prediction models. From the analysis, we found that the ITU-R model gives the lowest error rate when predicting the scintillation intensity for fade at 4.68%. However, the model should be further tested using data from higher-frequency bands, such as the K and Ka bands, to verify the accuracy of the model.

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Section: Discussionmentioning

confidence: 99%

Comparison of tropospheric scintillation prediction models of the Indonesian climate

Chen

Singh

2014

Earth Planet Sp

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“…To achieve better spectral analysis, the data were extracted by passing through a fifth-order high-pass Butterworth filter with a 0.04-Hz cut-off frequency. After the filtering process, the resulting data consists of positive (enhancement) and negative (fade) scintillation amplitude fluctuations above the mean level [19], [20]. Performance evaluation of each of the scintillation models is therefore tested based on the fractional percentage error.…”

Section: Experimental Set-up and Data Processingmentioning

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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“…The experimental setup is illustrated in Figure1and the details of experimental setup can be found in [13]. The experimental data set was processed and separated into rain periods and clear sky periods based on data from a tipping bucket rain gauge located near the receiver antenna [15]. After the separated between two phenomena, monthly cumulative distribution functions (CDF) of scintillation amplitude were discussed in next section.…”

Section: Experimental Setup and Data Processingmentioning

confidence: 99%

Seasonal and Diurnal Variation on Tropospheric Scintillation at Ku-Band in Tropical Climate

Elshami

Din

2016

IJECE

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Tropospheric scintillation is a rapid fluctuation of the received signal amplitude which can cause propagation impairments that affect satellite communication systems operating above 10 GHz. Scintillation data was collected in Equatorial Johor Bahru, Malaysia, based on a one-year Ku-band propagation measurement campaign, utilizing MEASAT-1 Satellite with an antenna elevation angle of 75.61°. This work concentrates on the probability density function (PDF) of diurnal variations of clear sky scintillation variance analyzed on an hourly basis. Besides, seasonal variation of scintillation amplitude has been presented in this paper. From the results, it is concluded that clear sky scintillation variance is likely to occur during morning and afternoon periods. Moreover, clear sky scintillation amplitude of the South-West monsoon shows a relatively higher comparing with others monsoon seasons. Hence, signal attenuation based on seasonal and diurnal information is of great interest for the system designers to appropriately design fade margin.Tropospheric scintillation is a rapid fluctuation of the received signal amplitude which can cause propagation impairments that affect satellite communication systems operating above 10 GHz. Scintillation data was collected in Equatorial Johor Bahru, Malaysia, based on a one-year Ku-band propagation measurement campaign, utilizing MEASAT-1 Satellite with an antenna elevation angle of 75.61°. This work concentrates on the probability density function (PDF) of diurnal variations of clear sky scintillation variance analyzed on an hourly basis. Besides, seasonal variation of scintillation amplitude has been presented in this paper. From the results, it is concluded that clear sky scintillation variance is likely to occur during morning and afternoon periods. Moreover, clear sky scintillation amplitude of the South-West monsoon shows a relatively higher comparing with others monsoon seasons. Hence, signal attenuation based on seasonal and diurnal information is of great interest for the system designers to appropriately design fade margin.

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Tropospheric Scintillation With Concurrent Rain Attenuation at 50 GHz in Madrid

Cited by 29 publications

References 18 publications

Comparison of tropospheric scintillation prediction models of the Indonesian climate

Comparison of tropospheric scintillation prediction models of the Indonesian climate

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

Seasonal and Diurnal Variation on Tropospheric Scintillation at Ku-Band in Tropical Climate

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