• Satellite Communications and Space Industry
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• v.4 no.3
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• pp.20-26
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• 1996

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1996.10a
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• pp.897-901
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• 1996

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1993.10a
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• pp.551-554
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• 1993

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1993.10a
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• pp.555-558
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• 1993

• Satellite Communications and Space Industry
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• v.9 no.2 s.22
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• pp.126-137
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• 2001

• Satellite Communications and Space Industry
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• v.4 no.2
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• pp.61-77
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• 1996

• Satellite Communications and Space Industry
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• v.15 no.1
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• pp.18-27
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• 2008

• Journal of Navigation and Port Research
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• v.28 no.5
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• pp.435-441
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• 2004

This paper deals with modelling and identification of a shipboard stabilized satellite antenna system using the optimal neural network structure. It is difficult for shipboard satellite antenna system to control and identification because of their approximating ability of nonlinear function So it is important to design the neural network with optimal structure for minimum error and fast response time. In this paper, a neural network structure using genetic algorithm is optimized And genetic algorithm is also used for identifying a shipboard satellite antenna system It is noticed that the optimal neural network structure actually describes the real movement of ship well. Through practical test, the optimal neural network structure is shown to be effective for modelling the shipboard satellite antenna system.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.9 no.2
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• pp.199-210
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• 1998

It is very important to analyze and predict the propagation characteristics of LEO communication satellite at the service area using computer simulation. In this paper, the propagation characteristics of a satellite communication system are analyzed using ray tracing technique. We predicted the receiving environment and obtain the delay profile and total received power at each position using ray tracing method by changing both the azimuth and elevation angles after establishing the imaginary receiving space. The final goal of this paper is to analyze and understand the wave propagation characteristics of the satellite communication network about 2 GHz frequency band. The prediction method presented in this paper may help us to design satellite transceiver system and to construct a satellite communication network.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.913-914
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• 2016

This paper analyzes the impact of the satellite TWTA non-linearity charateristics for shared band transmission technology to improve spectral efficiency in satellite communication system. In shared band transmission technology for star network, a hub and terminals use same frequency band. In order to receive terminals's signal a hub have to remove the its own DVB-S2 carrier. In this paper the non-linearity impact of satellite TWTA is analyzed for self-interference cancellation.