Effect of wet antenna attenuation on propagation data statistics

Kharadly, M.M.Z.; Ross, R.

doi:10.1109/8.943313

Cited by 63 publications

(59 citation statements)

References 1 publication

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“…During the first part of the project, i.e., until 10 October 2011, the antennas of the link were fully exposed to the rain. Consequently, during rainy periods, a thin film of water was formed on the surface of the antennas, causing additional attenuation in the order of several dB (Kharadly and Ross, 2001;Leijnse et al, 2008). Preliminary data analysis suggest that the antennas remain wet for some time after the rain has stopped.…”

Section: Microwave Linkmentioning

confidence: 97%

Using Markov switching models to infer dry and rainy periods from telecommunication microwave link signals

et al. 2012

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Abstract.A Markov switching algorithm is introduced to classify attenuation measurements from telecommunication microwave links into dry and rainy periods. It is based on a simple state-space model and has the advantage of not relying on empirically estimated threshold parameters. The algorithm is applied to data collected using a new and original experimental set-up in the vicinity of Zürich, Switzerland. The false dry and false rain detection rates of the algorithm are evaluated and compared to 3 other algorithms from the literature. The results show that, on average, the Markov switching model outperforms the other algorithms. It is also shown that the classification performance can be further improved if redundant information from multiple channels is used.

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Section: Microwave Linkmentioning

confidence: 97%

Using Markov switching models to infer dry and rainy periods from telecommunication microwave link signals

et al. 2012

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“…Attenuation due to wet antennas gives rise to overestimation of rainfall and needs to be compensated for (Kharadly and Ross, 2001;Minda and Nakamura, 2005;Leijnse et al, 2007aLeijnse et al, , b, 2008Schleiss et al, 2013). The sampling strategy is also an important error source, e.g.…”

Section: Introductionmentioning

confidence: 99%

Retrieval algorithm for rainfall mapping from microwave links in a cellular communication network

2016

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Abstract. Microwave links in commercial cellular communication networks hold a promise for areal rainfall monitoring and could complement rainfall estimates from ground-based weather radars, rain gauges, and satellites. It has been shown that country-wide ( ≈ 35 500 km 2 ) 15 min rainfall maps can be derived from the signal attenuations of approximately 2400 microwave links in such a network. Here we give a detailed description of the employed rainfall retrieval algorithm. Moreover, the documented, modular, and user-friendly code (a package in the scripting language "R") is made available, including a 2-day data set of approximately 2600 commercial microwave links from the Netherlands. The purpose of this paper is to promote rainfall mapping utilising microwave links from cellular communication networks as an alternative or complementary means for continental-scale rainfall monitoring.

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“…As they are nearly vertical planes, made of hydrophobic materials, it is likely that the amount of water attached to the radome surfaces has a maximum value, which would lead to a saturation value of the attenuation that it provokes. After reviewing the literature on this effect, a single-frequency model was found [15] that proposes an exponential relationship between the attenuation measurements and the wet antenna attenuation . Considering that , where is the path attenuation, a similar exponential relationship can be proposed relating the attenuation caused by the two wet antennas, , to the predicted path attenuation (3) where and are model parameters.…”

Section: Wet Antenna Effectsmentioning

confidence: 99%

Estimation of Rain Attenuation From Experimental Drop Size Distributions

Garcia-Rubia

Riera

Benarroch

et al. 2011

Antennas Wirel. Propag. Lett.

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Detailed measurements of the rain phenomena can be obtained from modern equipment that provides experimental drop size distributions (DSDs), which can be used to analyze the effects of past rain events or to predict their influence on colocated radio links. In this letter, the use of experimental DSDs to predict rain effects on millimeter-wave propagation is discussed from a practical point of view, taking advantage of the availability of measurements from various instruments. The derived results show that predictions can be calculated with reasonable accuracy, provided that some practical considerations are taken into account.

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Effect of wet antenna attenuation on propagation data statistics

Cited by 63 publications

References 1 publication

Using Markov switching models to infer dry and rainy periods from telecommunication microwave link signals

Using Markov switching models to infer dry and rainy periods from telecommunication microwave link signals

Retrieval algorithm for rainfall mapping from microwave links in a cellular communication network

Estimation of Rain Attenuation From Experimental Drop Size Distributions

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