Statistical Study of Cloud Attenuation on Ka-Band Satellite Signal in Tropical Region

Yuan, Feng; Lee, Yee Hui; Meng, Yu Song; Yeo, Jun Xiang; Ong, Jin

doi:10.1109/lawp.2017.2693423

Cited by 14 publications

(12 citation statements)

References 10 publications

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“…Reference [4] particularly, reported 2.9 dB maximum cloud attenuation for the 0.01% of time from their cumulative distribution, attributed majorly to 9.5% presence of nimbostratus using data from a similar experimental setup at tropical Penang, when its cloud cover is only 62.4%. Yet another published result state that at time exceedance of 0.01% from their cumulative distribution function, cloud attenuation in the Ka-band can reach up to 4 dB in the tropical region [22].…”

Section: Analysis Of the Cloud Attenuation Cumulative Distributionsmentioning

confidence: 99%

Climatic Bases and Analysis of Proposed Cloud Attenuation Model for Satellite Links Application

Adewusi

2021

JRRS

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Consistently required lager bandwidth at lower cost induce increases in magnitude of transmission frequency for satellite signal. This is phenomenally accompanied by proportional hydrometeors attenuation. Hence, there is need to evaluate cloud attenuation impact in every climatic region periodically. This report is one of the outcomes of experimental communication research carried out at tropical Ota (6.7oN, 3.23oE) station, southwest, Nigeria. The station spectrum analyzer measures its received beacons total attenuation at 12.245 GHz and elevation angle 59.9o to Astra satellites located at 28.2oE. Daily maximum, minimum and mean temperatures; rain amount, wind speed and direction as well as time of occurrence of each of these weather parameters were also measured. Then the radiometric data including acquired radiosonde data were analysed under rainy and non-rainy conditions, to obtain cloud attenuation contribution from the total attenuation measured per minute. The various data used range in measurement periods between four and fifty-eight years. The outputs were used to compute the station cumulative distributions for the existing cloud models and for the integrated station’s data. Statistical analysis comparing the two cumulative distributions show a high difference between the measured data and existing models’ predicted values. Hence a cloud attenuation computation algorithm and its simulation program were developed and used to derive a new tropical cloud attenuation model. The results of climatic data and analysis were used to justify the well corroborated new cloud attenuation model.

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Section: Analysis Of the Cloud Attenuation Cumulative Distributionsmentioning

confidence: 99%

Climatic Bases and Analysis of Proposed Cloud Attenuation Model for Satellite Links Application

Adewusi

2021

JRRS

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“…In addition, all these models were developed and evaluated using data collected in the temperate region and therefore has limited application to the tropical region [17]. Of these models, the ITU-R model is the most promising one, since it is based on 40 years of vertical atmospheric profiles statistics for the calculation of cloud attenuation.…”

Section: B Model Comparison and Analysismentioning

confidence: 99%

“…When the amount of water vapor is saturated at a certain temperature, it will condense to form clouds. Therefore, in this paper as a continuation of [17,18], we will study the correlation between the amount of ILWC and that of precipitable water vapor (PWV), and then propose an improved approach for determining the cloud attenuation accurately in the tropical region.…”

Section: Introductionmentioning

confidence: 99%

High-Resolution ITU-R Cloud Attenuation Model for Satellite Communications in Tropical Region

Yuan

Lee

Meng

et al. 2019

IEEE Trans. Antennas Propagat.

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In this paper, the precipitable water vapor (PWV) data from GNSS (Global Navigation Satellite System) is introduced into the ITU-R cloud attenuation model for higher temporal and spatial resolution for the tropical region. The revised model incorporates PWV value for estimation of the cloud integrated liquid water content (ILWC), and then determine the cloud attenuation. In this study, ILWC along the propagation path is obtained by processing radiosonde vertical profile using the combination of water vapor pressure cloud detection model and the Salonen and Uppala liquid water density model. From the analysis of 2-years radiosonde data from 8 sites within the tropical region, the results show that the ILWC along the path can be approximated by a power function relationship with the PWV. The estimated cloud attenuation using the improved model is compared with the values calculated using the ITU-R model and the cloud attenuation derived from a Ka-band beacon data. The results show that the proposed model is in good agreement with the ITU-R model at high percentage of time exceedance for the thin layer of stratus clouds and matches well with cloud attenuation suffered from beacon signal at low percentage of time exceedance for the thick layer of cumulonimbus clouds.

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“…Th is model synthesised three-dimensional cloud fields in high resolution. In addition, researchers performed a statistical study of cloud attenuation of Ka-band satellite signals [39]. In this study, cloud events were distinguished from rain events using the differentiating technique described in [40].…”

Section: Cloud Attenuation Modelsmentioning

confidence: 99%

Atmospheric Impairments and Mitigation Techniques for High-Frequency Earth-Space Communication Systemin Heavy Rain Region: A Brief Review

Seah¹,

Jong²,

Lam³

2019

IJIE

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Atmospheric effects such as gaseous absorption, rain attenuation, cloud attenuation and tropospheric scintillation are considered major impairments to terrestrial and earth-to-satellite signal transmission at frequencies above 10 GHz. The current demand for high-speed communication with larger bandwidths is the main reason for the interest in using the Ka and Q/ V frequency bands. However, these frequency bands could severely dimin ish the performance of systems [1]-[3]. In this respect, the carrier-to-noise ratio (C/N) and system availability, two aspects of primary system performance, are key parameters affect ing the quality of service (QoS). Atmospheric gases, rain, cloud, scintillation and depolarisation are factors that weaken the carrier power, while other factors, such as atmospheric gases, rain, terrestrial interference and surface emissions, increase the noise power of the system [4]. Atmospheric effects, especially rain attenuation, are expected to be more severe in tropical and equatorial climatic regions [5], [6] as these areas experience wet weather throughout the year. In addition, precipitation may cause occurrences of scintillation when a signal degrades during the rain events. This paper discusses and reviews previous work on propagation effects at future high-frequency bands such as Ka and Q/ V. The paper is structured as follows. First, the effects of scintillation are reviewed in Section 2, and then attenuation due to rain is discussed e xtensively in Sect ion 3. Section 4 presents a

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Statistical Study of Cloud Attenuation on Ka-Band Satellite Signal in Tropical Region

Cited by 14 publications

References 10 publications

Climatic Bases and Analysis of Proposed Cloud Attenuation Model for Satellite Links Application

Climatic Bases and Analysis of Proposed Cloud Attenuation Model for Satellite Links Application

High-Resolution ITU-R Cloud Attenuation Model for Satellite Communications in Tropical Region

Atmospheric Impairments and Mitigation Techniques for High-Frequency Earth-Space Communication Systemin Heavy Rain Region: A Brief Review

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