Studies on radio duct occurrence and properties

Sasaki, O.; Akiyama, Teruo

doi:10.1109/tap.1982.1142921

Cited by 12 publications

(5 citation statements)

References 5 publications

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“…The occurrence peak of July, August, and September as is obtained in Fig. 5 is very consistent with earlier works (Sasaki and Akiyama, 1982). The results in Fig.…”

Section: Article In Presssupporting

confidence: 91%

On the statistical correlation of over-horizon VHF signals with meteorological radio ducting and seismicity

Yonaiguchi

Ida

Hayakawa

2007

Journal of Atmospheric and Solar-Terrestrial Physics

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“…The occurrence peak of July, August, and September as is obtained in Fig. 5 is very consistent with earlier works (Sasaki and Akiyama, 1982). The results in Fig.…”

Section: Article In Presssupporting

confidence: 91%

On the statistical correlation of over-horizon VHF signals with meteorological radio ducting and seismicity

Yonaiguchi

Ida

Hayakawa

2007

Journal of Atmospheric and Solar-Terrestrial Physics

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“…When trying to identify potential contributions of certain weather-related tropospheric propagation effects, a few well-known large-scale effects and mechanisms can be eliminated right away. Scattering by gaseous structures in the direct link path, attenuation due to absorption by gaseous structures and attenuation due to precipitation are unlikely to be direct causes of this phenomenon as literature suggests that these mechanisms only have a noticeable influence at higher frequencies [ 27 , 53 , 54 , 55 ]. Furthermore, potential contributions from tropospheric scintillations are eliminated from the data by the moving average process mentioned in Section 3.1 .…”

Section: Discussionmentioning

confidence: 99%

Variable Link Performance Due to Weather Effects in a Long-Range, Low-Power LoRa Sensor Network

Ameloot

Torre

Rogier

2021

Sensors

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When aiming for the wider deployment of low-power sensor networks, the use of sub-GHz frequency bands shows a lot of promise in terms of robustness and minimal power consumption. Yet, when deploying such sensor networks over larger areas, the link quality can be impacted by a host of factors. Therefore, this contribution demonstrates the performance of several links in a real-world, research-oriented sensor network deployed in a (sub)urban environment. Several link characteristics are presented and analysed, exposing frequent signal deterioration and, more rarely, signal strength enhancement along certain long-distance wireless links. A connection is made between received power levels and seasonal weather changes and events. The irregular link performance presented in this paper is found to be genuinely disruptive when pushing sensor-networks to their limits in terms of range and power use. This work aims to give an indication of the severity of these effects in order to enable the design of truly reliable sensor networks.

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“…In this model the refractivity N (N = 106(n -1) A superrefractive layer, characterized by its height ho, its intensity AN, and its thickness AH, is superimposed on an average background refractiv- (see (7)). The statistical dependence is described in the reverse order by Sasaki and Akiyama [1982]. As a result, it is found that the most probable value of AZ increases with AM but less than proportionally due to a simultaneous increase in the gradient a.…”

Section: Model Atmospherementioning

confidence: 91%

Physical interpretation of the effect of the antenna heights on multipath propagation occurrence

Ciarletti¹,

Magne²

1995

Radio Science

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One aim of the Propagation en Air Clair et Météorologie 2 (PACEM2) experiment was to obtain a model for clear air propagation applicable to space diversity reception. The statistical results derived from nearly 4 years of continuous recording show an asymmetry between both diversity channels, the higher antenna being significantly more affected by multipath effects than the lower one. A possible effect of the antenna heights on multipath propagation occurrence is included in the latest version of the International Radio Consultative Committee (CCIR) prediction formula, which takes the inclination angle of the path into consideration, but the difference experimentally observed between both channels is much greater than the prediction derived from this CCIR formula. The object of this paper is to give a physical interpretation of the effect of antenna height on multipath occurrence leading to a quantitative agreement with the data. The physical model we use is built on available statistics of radio meteorological data. For each particular meteorological situation the shape and size of the region of interference between multiple propagation paths are then obtained by means of ray tracing. The results of these computations lead to the determination of the relative probability of occurrence of multipath propagation as a function of path length and antenna heights. A rather good agreement with the data is obtained when these parameters are given the values of the experimental link.

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Studies on radio duct occurrence and properties

Cited by 12 publications

References 5 publications

On the statistical correlation of over-horizon VHF signals with meteorological radio ducting and seismicity

On the statistical correlation of over-horizon VHF signals with meteorological radio ducting and seismicity

Variable Link Performance Due to Weather Effects in a Long-Range, Low-Power LoRa Sensor Network

Physical interpretation of the effect of the antenna heights on multipath propagation occurrence

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