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[IEEE 2018 15th European Radar Conference (EuRAD) - Madrid, Spain (2018.9.26-2018.9.28)] 2018 15th European Radar Conference (EuRAD) - A Circularly Polarized Circular Antenna Array for Satellite TV Reception
摘要： This paper proposes a novel design of a wideband compact circularly polarized circular antenna array for satellite TV reception. The circular array is based on a wideband circularly polarized spiral antenna element which has excellent impedance matching (VSWR ≤ 1.5) and axial ratio bandwidths for the satellite-to-ground downlink at Ku-band from 11.7-12.7 GHz. A 16-element circular sub-array is presented with a fixed 23° electronically steered beam upwards which is appropriate for Astra satellite communications in the UK. Furthermore, circular sub-arrays with different numbers of elements (8, 16, 24, 32 and, 40) are also studied. It is shown that the circular antenna array is particularly suitable for satellite TV reception while being vertically mounted on a wall because of its low profile, broadband and electronically steered beam.
关键词： Circular array,electronic steering,satellite communications,circularly-polarized antenna,spiral antenna
更新于2025-09-04 15:30:14
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[Institution of Engineering and Technology 12th European Conference on Antennas and Propagation (EuCAP 2018) - London, UK (9-13 April 2018)] 12th European Conference on Antennas and Propagation (EuCAP 2018) - Long-Term and Short-Term Atmospheric Impairments Forecasting for High Throughput Satellite Communication Systems
摘要： In this paper, three different methodologies are employed for the prediction of atmospheric attenuation for the performance evaluation of High Throughput Satellite Communication systems. The first one is based on numerical weather predictions and in particular the ECMWF forecasts that uses high resolution deterministic forecast and the probabilistic forecasts the perturbated products. The second methodology is based machine learning algorithms, which are advanced statistical methods. The two algorithms tested in this study are the random forest and the gradient boosting, both based on regression trees. Finally, the last method that is employed is the recurrent neural networks and in particular the Long Short Term Memory. These neural networks are used for the prediction of time series using memory blocks. All the algorithms are tested using data from the ALPHASAT experiment at Chilbolton and Chilton, UK. The obtained results are very encouraging.
关键词： radiowave propagation,forecast,Ka band and above,Satellite Communications,deep learning,machine learning
更新于2025-09-04 15:30:14