Experimental studies of Ka Band Rain Fade Slope at a Tropical Location of India

Das, Saurabh; Chakraborty, Madhura; Chakraborty, Swastika; Shukla, Ashish; Acharya, Rajat

doi:10.1016/j.asr.2020.06.014

Cited by 12 publications

(4 citation statements)

References 19 publications

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“…In other words, the intense rainfall causing attenuation peaks fades away slower at its end than at its onset, therefore, the long time-scale (several minutes) positive rates of change of attenuation are larger than the negative ones. This behavior at zenith paths is significantly different of that occurring in slant paths for which the magnitude of positive and negative rates of change are statistical identical, according to the experimental results [35][36][37][38][39][40] and modeling [41].…”

Section: Examples Of Theoretical Application To Time Series 𝐴(𝑡)mentioning

confidence: 61%

A Small Power Margin and Bandwidth Expansion Allow Data Transmission During Rainfall Despite Large Attenuation: Application to GeoSurf Satellite Constellations at mm–Waves

Matricciani

2024

Preprint

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The traditional approach of considering the probability distribution of rain attenuation leads to overdesign the power margin of data channels. We have first recalled a method, proposed in 2016, which with a small power margin, bandwidth expansion and variable symbol rate avoids overdesign and can transfer the same data volume as if the link were in clear–sky conditions. It is charaterized only by the link mean efficiency 0≤η≤1, suitably defined. It is usefull only if: (a) data must be downloaded also when it is raining; (b) real–time communication is not strictly required. We have applied it to the links of GeoSurf satellite constellations by simulating rain attenuation time series at 80 GHz (mm–wave) with the Synthetic Storm Technique, from rain-rate time series recorded on–site, at sites located in different climatic regions. The power margin to be implemented ranges from 2.0 dB to 7.4 dB – well within the current technology – regardless the instantaneous rain attenuation. The clear–sky bandwidth is expanded 1.75 to 2.80 times, not large per se, but it may challenge current technology if the clear–sky bandwidth is already large.

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Section: Examples Of Theoretical Application To Time Series 𝐴(𝑡)mentioning

confidence: 61%

A Small Power Margin and Bandwidth Expansion Allow Data Transmission During Rainfall Despite Large Attenuation: Application to GeoSurf Satellite Constellations at mm–Waves

Matricciani

2024

Preprint

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“…12, No. 5, October 2022: 5084-5092 5086 P.618-12 [11]- [17]. The model adopts the same basic formulation as the Karasawa model with its long-term scintillation variance expressed as corresponded to 𝑁𝑤𝑒𝑡, which is a function of relative humidity H (%) and temperature t (°𝐶), measured at ground level.…”

Section: Itu-r Modelmentioning

confidence: 99%

On the applicability of some existing tropospheric scintillation prediction models for Ikeja and Abuja, Nigeria

Adeyemo

Yusuf²,

Lasisi³

et al. 2022

IJECE

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Tropospheric scintillation which causes rapid fluctuation of signal due to the turbulence in the atmosphere is of significance in satellite link budget design. Existing models that predict the intensity of scintillation such as Karasawa, International Telecommunication Union Radiocommunication (ITU-R) Sector, Otung, Van de Kamp and Ortgies are not appropriate for predicting scintillation intensity (SI) in Nigeria due to localization of the models to particular regions. The monthly average air temperature and relative humidity for Ikeja and Abuja, Nigeria, retrieved from the Nigerian Meteorological Centre data bank were used for the investigation. An elevation angle of 5° was used as look angle, antenna diameter of 0.3 m, 40 GHz and 45 GHz frequencies were considered in this study. The existing scintillation model values were then compared with the measured values for the two locations to determine the best performance model. The SI results at 40 GHz and 45 GHz were obtained for each of the existing models. It could be deduced from the results obtained that orgies model values were the most closet to the measured values. Therefore, Orgies-N model was the most appropriate for SI prediction in Ikeja and Abuja.

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“…Rain is the most dominant factor causing signal fading at higher frequencies above 10 GHz [18]. The signal attenuation due to the rain will cause a very slow variation in the spectral domain [19].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Modeling Short-Term Effects of Rain on Satellite Link using Machine Learning

Kumar¹

2022

Preprint

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<p>The received signal at the ground station for a satellite link is affected by the stochastic nature of atmospheric channel. Adverse weather events such as rain not only attenuates the signal but also increases noise, scintillation fading and multipath effects that cause rapid variations in the received signal at the ground station. In order to analyze the stochastic effects of weather phenomenon on the link performance on short-term basis, both the slowly changing signal attenuation and the rapid variations caused by channel at the receiver has to be studied. In this work, we first analyze the short-term effects of rain on the statistical and spectral properties of fast varying signal component affecting the link performance. Following this, we model such parameters using several features extracted from the slowly varying signal component with support vector machine (SVM). We show an interesting result that the statistical and spectral properties of fast varying signal under rainy channel conditions can be predicted with very high accuracy using SVM. The prediction of such parameters will lead to receiver design adaptive to varying channel dynamics affecting the link performance under rainy conditions.</p>

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Experimental studies of Ka Band Rain Fade Slope at a Tropical Location of India

Cited by 12 publications

References 19 publications

A Small Power Margin and Bandwidth Expansion Allow Data Transmission During Rainfall Despite Large Attenuation: Application to GeoSurf Satellite Constellations at mm–Waves

A Small Power Margin and Bandwidth Expansion Allow Data Transmission During Rainfall Despite Large Attenuation: Application to GeoSurf Satellite Constellations at mm–Waves

On the applicability of some existing tropospheric scintillation prediction models for Ikeja and Abuja, Nigeria

Modeling Short-Term Effects of Rain on Satellite Link using Machine Learning

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