Results from the Virginia Tech propagation experiment using the Olympus satellite 12, 20 and 30 GHz beacons

Stutzman, W.L.; Pratt, T.; Safaai‐Jazi, A.; Remaklus, P.W.; Laster, J.; Nelson, Brent D.; Ajaz, H.

doi:10.1109/8.366351

Cited by 27 publications

(7 citation statements)

References 7 publications

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“…This is the method recommended by the European Space Agency for use in the current context. The European Space Agency's recommendation, which is discussed by Stutzman et al (1995), is to useX S .t/, given bỹ…”

Section: Time Domain Methodsmentioning

confidence: 99%

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Denoising Radiocommunications Signals by Using Iterative Wavelet Shrinkage

Baxter

Upton

2002

Journal of the Royal Statistical Society Series C: Applied Statistics

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Radiocommunications signals pose particular problems in the context of statistical signal processing. This is because short-term fluctuations (noise) are a consequence of atmospheric effects whose characteristics vary in both the short and the longer term. We contrast traditional time domain and frequency domain filters with wavelet methods. We also propose an iterative wavelet procedure which appears to provide benefits over existing wavelet methods. Copyright 2002 Royal Statistical Society.

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Section: Time Domain Methodsmentioning

confidence: 99%

“…We have used the window size recommended by Stutzman et al (1995). The use of a larger window would also reduce the estimated signal values.…”

Section: Failure Of Traditional Methodsmentioning

confidence: 99%

Denoising Radiocommunications Signals by Using Iterative Wavelet Shrinkage

Baxter

Upton

2002

Journal of the Royal Statistical Society Series C: Applied Statistics

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“…Commonly, the dynamic behavior of rain attenuation is studied in terms of the rate of change of attenuation, or “fade slope.” In order to provide information on rain fade slope, various experiments have been carried out to analyze its statistical properties [e.g., Matricciani , 1981; Stutzman et al , 1995; Feil et al , 1997; Schnell and Fiebig , 1997; van de Kamp , 2003a]. An empirical prediction model of fade slope, based on measurements from various sites [ van de Kamp , 2003a] is currently recommended by International Telecommunication Union ( ITU ) [2005].…”

Section: Introductionmentioning

confidence: 99%

Rain fade slope predicted from rain rate data

Kamp

2007

Radio Science

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[1] A key parameter of the statistics of the rate of change of rain attenuation (''fade slope'') on satellite links is the variance of relative fade slope. This paper shows how this parameter can be derived from rain rate measurements without the use of satellite beacon measurements. Relating rain rate directly to attenuation would give unrealistic results. A theoretical model to estimate the variance of relative fade slope is derived, using the integrating effect of rain rate variations along the propagation path and using as inputs several meteorological parameters only. The theoretical values are compared to measured results from a link in the United Kingdom at 50 GHz. The agreement is good on average and also in their correlation with the type of rain and with the rain height. With the wind speed, the theoretical values increase more strongly than the measured results, which may be due to the limited spatial resolution of the meteorological data.

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“…In order to provide information on rain fade slope, various experiments have been carried out to analyse its statistical properties, using, e.g., terrestrial links [e.g., Lin et al , 1980], and the satellites SIRIO [e.g., Matricciani et al , 1986], Olympus [e.g., Stutzman et al , 1995; van de Kamp , 1999], ACTS [e.g., Feil et al , 1997] and Italsat [e.g., Schnell and Fiebig , 1997].…”

Section: Introductionmentioning

confidence: 99%

Influence of time interval and filter bandwidth on measured rain fade slope

Kamp

Clérivet²

2004

Radio Science

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[1] The rate of change of rain attenuation, or 'fade slope,' observed on a microwave link, is dependant on system parameters of the receiver. This paper assesses its dependence on two data processing parameters: the time interval over which the fade slope is defined, and the low-pass filter bandwidth used to remove tropospheric scintillation. A theoretical expression of this dependence is derived. The expression is compared with measured results, which show a good agreement. The results show that the time interval has a strong influence when it is larger than the inverse of the filter bandwidth, and the filter bandwidth has a strong influence when its inverse is larger than the time interval. In general, the fade slope always depends strongly on at least one of the two parameters.

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Results from the Virginia Tech propagation experiment using the Olympus satellite 12, 20 and 30 GHz beacons

Cited by 27 publications

References 7 publications

Denoising Radiocommunications Signals by Using Iterative Wavelet Shrinkage

Denoising Radiocommunications Signals by Using Iterative Wavelet Shrinkage

Rain fade slope predicted from rain rate data

Influence of time interval and filter bandwidth on measured rain fade slope

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