The Study of Rain Specific Attenuation for the Prediction of Satellite Propagation in Malaysia

Mandeep, J. S.; Ng, Yun Yann; Abdullah, Huda; Abdullah, Mardina

doi:10.1007/s10762-010-9620-5

Cited by 25 publications

(23 citation statements)

References 5 publications

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“…In convective rain storms, when R > 1 0 mm/h, the effective rain height, R H depend on the rain rate because strong storms push rain higher into the atmosphere, and thereby lengthening the slant path [10]. To determine the slant path attenuation, a modified value of effective path length must be used, as follows:…”

Section: Internationalmentioning

confidence: 99%

Comparison of slant path rain attenuation models using data from a tropical station

Yussuff

Khamis

2013

2013 IEEE International RF and Microwave Conference (RFM)

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The distribution of rain along the radio propagation path is inhomogeneous. The non-uniformity of rainfall in both the horizontal and vertical directions makes the estimation of slant path attenuation complex. At frequencies above 10 GHz, the effects of attenuation and noise induced by atmospheric gases and rain are quite significant. Rain height data were obtained from the Tropical Rainfall Measuring Mission (TRMM) and NigComSat-1 satellite for 37 stations in Nigeria as reported in the literature. These TRMM and Nigeria data were used to find relationship between the rainfall rate and the effective slant path length. This effective length was used with local parameters at Universiti Teknologi Malaysia (UTM) to estimate the slant path attenuation values at the Ku-band. Furthermore, terrestrial attenuation data at 0.01% of the time for UTM were obtained from the UTM Wireless Communication Centre (WCC). Again, these attenuation data were transformed to slant path attenuation values using a transformation technique available in the literature. The attenuation exceeded for other percentages of the time was also obtained. The breakpoint model along with the ITU-R, DAH, Crane, Mandeep and the proposed modified ITU-R models were considered. It was observed that the validation results at 12 GHz clearly suggested that the proposed modified ITU-R model's estimates seem to provide fairly more acceptable results when compared with other models of interest.

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Section: Internationalmentioning

confidence: 99%

Comparison of slant path rain attenuation models using data from a tropical station

Yussuff

Khamis

2013

2013 IEEE International RF and Microwave Conference (RFM)

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“…The results of data analysis carried out and reported by Badron et al (2010) suggest that the average fade duration might be inversely proportional to the fade depth, contrary to previous reported studies undertaken by Pan and Allnutt (2004), Amaya and Nguyen (2005), and Fukuchi and Saito (2007). Rainfall type for tropical and subtropical regions had been classified by Mandeep and Tanaka (2007) as follows:…”

Section: Introductionmentioning

confidence: 99%

Rain Attenuation Prediction Model for Lagos at Millimeter Wave Bands

Yussuff

Khamis

2014

Journal of Atmospheric and Oceanic Technology

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Lagos, Nigeria (6.358N, 3.28E), is a coastal station in the rain forest area of southwestern Nigeria with an altitude of 38 m. Since most communication now takes place above the X band because of congestion of lower bands, it was necessary to look into ways of maximizing X-band usage. There are inadequate data for use in rain propagation studies at microwave frequencies, and even less so at millimeter wave bands where most of the signal depolarization and fading has been discovered to exist. The proposed model is a modification of the International Telecommunication Union-Radio Communication Sector (ITU-R) model combined with locally obtained regression coefficients for estimating specific attenuation as proposed by G. Olalere Ajayi. The Dissanayake, Allnutt, and Haidara (DAH), Simple Attenuation Model (SAM), and ITU-R attenuation prediction models were investigated along with the proposed model. The ITU-R model was observed to produce the best results at 40 GHz, with percentage error values of 0.61%, 0.55%, and 0.49% at 0.1%, 0.01%, and 0.001% of the time, respectively. In comparison, the proposed prediction model showed good performance at 20-GHz down-link frequency, with percentage error values of 3.6%, 3.3%, and 2.9% at 0.1%, 0.01%, and 0.001% of the time, respectively. The obtained results also showed good agreement with other similar works in the open literature. The results presented in this work are valuable for the design and planning of a satellite link in the tropical regions.

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“…A mong them, the rainattenuation (RA), also known as rain fade, is the dominantcause of signal impairment, especially at frequencies higherthan 10 GHz and small aperture antennas such as Very SmallAperture Terminal (VSAT) and Television Receive Only types(TVRO) [2], [12]- [17].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover,ITU-R techniques were developed at a time when the high frequencyoperations above Ku band, where losses become really significant,were not expected. Consequently, there was a greatroom to first improve the ITU-R techniques to maintain them accurateat higher frequency operations and second, to decouplethem fro m the fifteen years average data provided by ITUR.Instead, if we make ITU-R techniques work with real-t imeweather data, those techniques could help us achieve better operation,as they were helping us with the system design inthe past [13], [14], [17], and [19].…”

Section: Introductionmentioning

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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The Study of Rain Specific Attenuation for the Prediction of Satellite Propagation in Malaysia

Cited by 25 publications

References 5 publications

Comparison of slant path rain attenuation models using data from a tropical station

Comparison of slant path rain attenuation models using data from a tropical station

Rain Attenuation Prediction Model for Lagos at Millimeter Wave Bands

Performance Evolution in Satellite Communication Networks Along with Markovian Channel Prediction

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