scholarly journals Development and validation of time-series synthesizers of rain attenuation for Ka-band andQ/V-band satellite communication systems

2007 ◽  
Vol 25 (6) ◽  
pp. 575-601 ◽  
Author(s):  
Joël Lemorton ◽  
Laurent Castanet ◽  
Frédéric Lacoste ◽  
Carlo Riva ◽  
Emilio Matricciani ◽  
...  
Keyword(s):  
Time Series ◽  
Communication Systems ◽  
Satellite Communication ◽  
Rain Attenuation ◽  
Ka Band ◽  
V Band ◽  
Development And Validation

scholarly journals A Large-Scale Space-Time Stochastic Simulation Tool of Rain Attenuation for the Design and Optimization of Adaptive Satellite Communication Systems Operating between 10 and 50 GHz

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Nicolas Jeannin ◽  
Laurent Féral ◽  
Henri Sauvageot ◽  
Laurent Castanet ◽  
Frédéric Lacoste
Keyword(s):  
Time Series ◽  
Communication Systems ◽  
Large Scale ◽  
Satellite Communication ◽  
Scale Space ◽  
Rain Attenuation ◽  
Space Time ◽  
Design And Optimization ◽  
Space And Time ◽  
Precise Knowledge

The design and optimization of propagation impairment techniques for space telecommunication systems operating at frequencies above 20 GHz require a precise knowledge of the propagation channel both in space and time. For that purpose, space-time channel models have to be developed. In this paper the description of a model for the simulation of long-term rain attenuation time series correlated both in space and time is described. It relies on the definition of a stochastic rain field simulator constrained by the rain amount outputs of the ERA-40 reanalysis meteorological database. With this methodology, realistic propagation conditions can be generated at the scale of satellite coverage (i.e., over Europe or USA) for many years. To increase the temporal resolution, a stochastic interpolation algorithm is used to generate spatially correlated time series sampled at 1 Hz, providing that way valuable inputs for the study of the performances of propagation impairment techniques required for adaptive SatCom systems operating at Ka band and above.

Ka-band antenna arrays with dual-frequency and dual-polarized patch elements

2016 ◽  
Vol 8 (6) ◽  
pp. 963-972 ◽  
Author(s):  
Benjamin Rohrdantz ◽  
Thomas Jaschke ◽  
Frauke K. H. Gellersen ◽  
Anton Sieganschin ◽  
Arne F. Jacob
Keyword(s):  
Antenna Arrays ◽  
Patch Antenna ◽  
Communication Systems ◽  
Satellite Communication ◽  
Circuit Board ◽  
Dual Band ◽  
Antenna Element ◽  
Dual Frequency ◽  
Ka Band ◽  
Dual Polarized

In this contribution a dual-band, dual-polarized microstrip antenna element for array applications is presented. The patch antenna is designed to operate simultaneously at around 30 and 20 GHz, the up- and downlink frequencies of modern Ka-band satellite communication systems. The antenna is smaller than half the freespace wavelength at 30 GHz to enable its utilization as array element of dual-band ground terminals. Integrating transmitter and receiver circuits allows, in turn, for a very compact active terminal solution. To minimize production cost, the design is carried out in standard multilayer printed circuit board technology. The antenna features two distinct polarization ports suitable for either dual linear or dual circular polarization if both ports are excited in quadrature. The single antenna design process is described in detail and simulation and measurement results are presented. Finally, different arrays based on this patch antenna are evaluated by simulation and measurements.

scholarly journals Characterization of Rain Specific Attenuation and Frequency Scaling Method for Satellite Communication in South Korea

2017 ◽  
Vol 2017 ◽  
pp. 1-16 ◽  
Author(s):  
Sujan Shrestha ◽  
Dong-You Choi
Keyword(s):  
South Korea ◽  
Satellite Communication ◽  
Rain Rate ◽  
Rain Attenuation ◽  
Frequency Scaling ◽  
Scaling Method ◽  
Ka Band ◽  
Specific Attenuation ◽  
Rain Specific Attenuation ◽  
Attenuation Models

The attenuation induced by rain is prominent in the satellite communication at Ku and Ka bands. The paper studied the empirical determination of the power law coefficients which support the calculation of specific attenuation from the knowledge of rain rate at Ku and Ka band for Koreasat 6 and COMS1 in South Korea that are based on the three years of measurement. Rain rate data was measured through OTT Parsivel which shows the rain rate of about 50 mm/hr and attenuation of 10.7, 11.6, and 11.3 dB for 12.25, 19.8, and 20.73 GHz, respectively, for 0.01% of the time for the combined values of rain rate and rain attenuation statistics. Comparing with the measured data illustrates the suitability for estimation of signal attenuation in Ku and Ka band whose validation is done through the comparison with prominent rain attenuation models, namely, ITU-R P.618-12 and ITU-R P. 838-3 with the use of empirically determined coefficient sets. The result indicates the significance of the ITU-R recommended regression coefficients of rain specific attenuation. Furthermore, the overview of predicted year-wise rain attenuation estimation for Ka band in the same link as well as different link is studied which is obtained from the ITU-R P. 618-12 frequency scaling method.

scholarly journals Application of Synthetic Storm Technique for Diurnal and Seasonal Variation of Slant Path Ka-Band Rain Attenuation Time Series over a Subtropical Location in South Africa

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
J. S. Ojo ◽  
P. A. Owolawi
Keyword(s):  
South Africa ◽  
Time Series ◽  
Seasonal Variation ◽  
Diurnal Variation ◽  
Rain Rate ◽  
Rain Attenuation ◽  
Series Data ◽  
Band Frequency ◽  
Ka Band ◽  
Slant Path

As technology advances and more demands are on satellite services, rain-induced attenuation still creates one of the most damaging effects of the atmosphere on the quality of radio communication signals, especially those operating above 10 GHz. System designers therefore require statistical information on rain-induced attenuation over the coverage area in order to determine the appropriate transmitter and receiver characteristics to be adopted. This paper presents results on the time-varying rain characterization and diurnal variation of slant path rain attenuation in the Ka-band frequency simulated with synthetic storm techniques over a subtropical location in South Africa using 10-year rain rate time-series data. The analysis is based on the CDF of one-minute rain rate; time-series seasonal variation of rain rate observed over four time intervals: 00:00–06:00, 06:00–12:00, 12:00–18:00, and 18:00–24:00; diurnal fades margin; and diurnal variation of rain attenuation. Comparison was also made between the synthesized values and measured attenuation data. The predicted statistics are in good agreement with those obtained from the propagation beacon measurement in the area. The overall results will be needed for an acceptable planning that can effectively reduce the fade margin to a very low value for an optimum data communication over this area.

Multiple Feed per Beam networks for Ka-band satellite communication systems in LTCC technology

2011 ◽  
Author(s):  
Tobias Klein ◽  
Carsten Gunner ◽  
Jurgen Kassner ◽  
Reinhard Kulke ◽  
Helmut Wolf
Keyword(s):  
Communication Systems ◽  
Satellite Communication ◽  
Ka Band

scholarly journals Ku/Ka band mixers development for satellite communication systems

2005 ◽  
Author(s):  
Jiaoyun Zhou
Keyword(s):  
Communication Systems ◽  
Satellite Communication ◽  
Ka Band

Stochastic Approach to a Rain Attenuation Time Series Synthesizer for Heavy Rain Regions

2016 ◽  
Vol 6 (5) ◽  
pp. 2379
Author(s):  
Masoud Mohebbi Nia ◽  
Jafri Din ◽  
Hong Yin Lam ◽  
Athanasios D. Panagopoulos
Keyword(s):  
Time Series ◽  
Communication Systems ◽  
Measurement Data ◽  
Likelihood Estimation ◽  
Heavy Rain ◽  
Stochastic Approach ◽  
Rain Attenuation ◽  
Least Square ◽  
Model Parameters ◽  
Cir Model

<p>In this work, a new rain attenuation time series synthesizer based on the stochastic approach is presented. The model combines a well-known interest-rate prediction model in finance namely the Cox-Ingersoll-Ross (CIR) model, and a stochastic differential equation approach to generate a long-term gamma distributed rain attenuation time series, particularly appropriate for heavy rain regions. The model parameters were derived from maximum-likelihood estimation (MLE) and Ordinary Least Square (OLS) methods. The predicted statistics from the CIR model with the OLS method are in good agreement with the measurement data collected in equatorial Malaysia while the MLE method overestimated the result. The proposed stochastic model could provide radio engineers an alternative solution for the design of propagation impairment mitigation techniques (PIMTs) to improve the Quality of Service (QoS) of wireless communication systems such as 5G propagation channel, in particular in heavy rain regions.</p>

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