Calculations of millimeter wave depolarization due to melting layer and rain

Zhang, Wei; Salonen, E.; Karhu, S.

doi:10.1007/bf01010886

Cited by 5 publications

(1 citation statement)

References 7 publications

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“…A new method [87] of predicting cumulative distributions of XPD is proposed taking into account the effect of the ice depolarization. A model [88] for calculating the total depolarization due to the melting layer and rain is proposed under the assumption that oblate spheroidal melting particle and rain drops have the same orientation. In order tojimprovc the availability of propagation data at frequencies above 30 GHz the Rutherford Appleton Laboratory has built and operated 500 meter Mm-wave experimental range at ChilbolGon [89] Measurements of rain height has been carried out in Malaysiya by Zainal et al [90].…”

Section: Discussionmentioning

confidence: 99%

Effect of Rain on Millimeter - Wave Propagation — A Review

Sen¹,

Singh²

2007

AIP Conference Proceedings

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A b s tra c t . Rain severely affects the propagation of electromagnetic waves above 10 GHz Attenuation and depolarization of signals are caused by the presence of the rain drops Rain attenuation depends in a complex manner, on the dropsize distributions, temperature and terminal velocity of ram drops, vertical and horizontal structure of the rain cell, wave length of the signal etc. Depolarization depends on the non-spheroicity of the tain diops In this Review, the subject has been introduced in Section I In Section 2, the theory ol ram attenuation has been described Various dropsize distributions which depend on the point rain rate, on the basis of rain mcasuiernents are given in this section. Jn order to describe the behaviour and effects of the rain completely statistical models have been developed which are described in Section 3 on the basis of world wide measurements This Section includes the statistical cumulative distribution of rain fall rate, rain attenuation models for terrestrial and earth-space paths, frequency and path length scaling, worst month statistics and cross-polarization statistics Comparison between various statistical models is given in Section 4 In Section 5 we have discussed the applicability of various statistical models for different geographical regions described on the basis of extensive measurements. K eyw ords ; Ram, millimeter-wave propagation, statistical models PACS Nos. . 92 60 Jq, 41 20. Jb PLAN OF THE ARTICLE L Introduction 2. Mie theory 3. Drop size distribution 4. Cross polarization 5-Statistical models 5.1. Rainfall rate 5.2. Rain attenuation models 5.2.1. Terrestrial paths 5.2.2. Earth space paths © 1998 IACS Rajas ri Sen and M P Singh 5.3. Frequency scaling o f rain attenuation statistics 5.4. Path length scaling 5.5. Worst-month statistics 5.6. Cross polarization statistics 6. A comparison of statistical models 7. Discussion

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Section: Discussionmentioning

confidence: 99%

Effect of Rain on Millimeter - Wave Propagation — A Review

Sen¹,

Singh²

2007

AIP Conference Proceedings

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Real-time Non-contact Millimeter Wave Characterization of Water-Freezing and Ice-Melting Dynamics

Sundaram

Woskov

2009

J Infrared Milli Terahz Waves

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We applied millimeter wave radiometry for the first time to monitor waterfreezing and ice-melting dynamics in real-time non-contact. The measurements were completed at a frequency of 137 GHz. Small amounts (about 2 mL) of freshwater or saltwater were frozen over a Peltier cooler and the freezing and melting sequence was recorded. Saltwater was prepared in the laboratory that contained 3.5% of table salt to simulate the ocean water. The dynamics of freezing-melting was observed by measuring the millimeter wave temperature as well as the changes in the ice or water surface reflectivity and position. This was repeated using large amounts of freshwater and saltwater (800 mL) mimicking glaciers. Millimeter wave surface level fluctuations indicated as the top surface melted, the light ice below floated up indicating lower surface temperature until the ice completely melted. Our results are useful for remote sensing and tracking temperature for potentially large-scale environmental applications, e.g., global warming.

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Radio wave depolarization simulator based on the SC EXCELL model

Regonesi

Capsoni

Riva

2016

2016 10th European Conference on Antennas and Propagation (EuCAP)

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The depolarization caused by the non-sphericity of hydrometeors has to be taken in due account in the design of satellite communication systems making use of polarization diversity to increase the bandwidth made available. Even if many authors have already discussed this issue from the theoretical and the experimental point of view, a simulator for the evaluation of the depolarizing effects caused by hydrometeors in their different physical states is still missing. In this contribution we present a tool to support the analysis of XPD (Cross Polarization Discrimination) measurements allowing a better understanding of the different contributions to the total depolarization, of the impact of the variability (in time and space) of the instantaneous particle size distribution and drop shape

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Calculations of millimeter wave depolarization due to melting layer and rain

Cited by 5 publications

References 7 publications

Effect of Rain on Millimeter - Wave Propagation — A Review

Effect of Rain on Millimeter - Wave Propagation — A Review

Real-time Non-contact Millimeter Wave Characterization of Water-Freezing and Ice-Melting Dynamics

Radio wave depolarization simulator based on the SC EXCELL model

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