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Investigations of Channel Capacity Loss in LEO Satellite Systems Using Phased Array Beamforming Antennas
In low Earth orbit (LEO) communication systems, phased array beamforming antennas are extensively used on the terminal and satellite sides. The main purpose of such antennas is electrical beam steering without using any mechanical devices. With this, the beam has to follow the overflight trajectory. However, phased array antennas only have a limited set of discrete beam steering directions, which ...Show More
Capacity loss mitigation due to phased array antennas in multi-satellite scenarios
40th International Communications Satellite Systems Conference (ICSSC 2023)
Year: 2023 | Conference Paper |
Phased array beam forming antennas are widely used in LEO satellite systems as well as in ground terminals. Those electrically steerable antennas (ESA) operate in discrete steering angles, which leads to an antenna gain fading, when the Tx and Rx pointing directions are not aligned precisely. As the pointing alignment precision varies continuously during a satellite flyover, the antenna gain will ...Show More
Dummy Based Blind Beam Acquisition and Switching Strategy for DVB-S2X Applications in LEO Satellite Environments
2023 IEEE Conference on Antenna Measurements and Applications (CAMA)
Year: 2023 | Conference Paper |
This paper proposes a blind beam acquisition and switching strategy for DVB-S2(X) applications in low earth orbit satellite systems. No position, location and orientation information are required. The algorithm uses regular dummy frames to estimate the best-suited antenna beam iteratively from a candidate list. The best beam pair is determined based on carrier-to-noise estimation. We describe in d...Show More
This paper proposes an efficient memory-based prediction method for the antenna gain loss of phased array beamforming antennas in LEO satellite communication systems during overflight situations. The gain loss is caused by the limited set of discrete antenna beam pointing vectors which leads to a nonoptimal antenna steering and thus to a time-varying receiving power. The algorithm uses a pre-compu...Show More
Neural Network Based LEO Phased Array Antenna Gain Loss Prediction
2022 14th International Conference on Communications (COMM)
Year: 2022 | Conference Paper |
Cited by: Papers (4)
This paper proposes a neural network-based time-series predictor for the antenna gain loss of phased array beam-forming antennas in LEO satellite communication systems. The gain loss is caused by the limited set of discrete antenna beam pointing vectors which leads to a non-optimal antenna steering and thus to a varying receiving power. The main purpose of the predictor is to reduce the fixed marg...Show More
Microstrip Combline Bandpass Filter with Tuning Range Enhancement and Bandwidth Tunability Using Resonator Loaded Series Varactor and SLR
2022 14th German Microwave Conference (GeMiC)
Year: 2022 | Conference Paper |
A new microstrip combline filter with adjustable center frequency and bandwidth is proposed. The design is based on a double sided varactor loaded resonators and a resonant defected ground structures. Detailed filter design equations are given and explained. To validate the proposed structure, a second-order prototype filter is designed and fabricated with a relative bandwidth of 10 to 15 % and a ...Show More
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