Study on statistical models for land mobile satellite channel

Ying Wang; Xiulin Hu

doi:10.1117/12.656820

4 January 2006 Study on statistical models for land mobile satellite channel

Ying Wang, Xiulin Hu

Proceedings Volume 5985, International Conference on Space Information Technology; 598517 (2006) https://doi.org/10.1117/12.656820
Event: International Conference on Space information Technology, 2005, Wuhan, China

Abstract

Mobile terminals in a mobile satellite communication system cause the radio propagation channel to vary with time. So it is necessary to study the channel models in order to estimate the behavior of satellite signal propagation. A lot of research work have been done on the L- and S- bands. With the development of gigabit data transmissions and multimedia applications in recent years, the Ka-band studies gain much attention. Non-geostationary satellites are also in research because of its low propagation delay and low path loss. The future satellite mobile communication systems would be integrated into the other terrestrial networks in order to enable global, seamless and ubiquitous communications. At the same time QoS-technologies are studied to satisfy users' different service classes, such as mobility and resource managements. All the above make a suitable efficient channel model face new challenges. This paper firstly introduces existed channel models and analyzes their respective characteristics. Then we focus on a general model presented by Xie YongJun, which is popular under any environment and describes difference through different parameter values. However we believe that it is better to take multi-state Markov model as category in order to adapt to different environments. So a general model based on Markov process is presented and necessary simulation is carried out.

Citation Download Citation

Ying Wang and Xiulin Hu "Study on statistical models for land mobile satellite channel", Proc. SPIE 5985, International Conference on Space Information Technology, 598517 (4 January 2006); https://doi.org/10.1117/12.656820

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