Multipath Propagation Fade Duration Modeling of Land Mobile Satellite Radio Channel
László Csurgai-Horváth, János Bitó
Budapest University of Technology and Economics
Faculty of Electrical Engineering and Informatics
Department of Broadband Infocommunications and Electromagnetic Theory
csurgai@mht.bme.hu, bito@mht.bme.hu
Budapest University of Technology and Economics
Faculty of Electrical Engineering and Informatics
Department of Broadband Infocommunications and Electromagnetic Theory
csurgai@mht.bme.hu, bito@mht.bme.hu
The propagation on a Land Mobile Satellite (LMS) radio link is highly influenced by the shadowing effects of buildings and vegetation, or by the multipath propagation. This kind of fading arises due the multiple reflexions of the radio waves on the surrounding objects; therefore not only the direct signal is received. The characteristics of fading highly depend on the surroundings. During the design of LMS radio links one can apply the distribution function of the attenuation or the fade duration statistics to determine the fluctuation of the received signal.
The fade duration is an important dynamic parameter of the path attenuation which gives the duration of fading higher than a given attenuation threshold. Therefore the fade duration is always calculated for multiple threshold levels.
In our contribution a digital model with Markov chain will be introduced, which is also applicable to determine the statistical parameters of the fade duration. The model is based on the measurement data of a real LMS channel what has been used to calculate the model parameters.
The proposed model is a partitioned Fritchman’s Markov chain which is applicable to describe the stochastic fade duration process and also to calculate the Complementary Cumulative Distribution Function (CCDF) of the fade duration. The expressions to calculate the model parameter dependency on the threshold level will be also introduced. Therefore the model will be applicable to calculate the CCDF of fade duration for any desired threshold level which may lead us to the synthesis of attenuation time series in the future.
The fade duration is an important dynamic parameter of the path attenuation which gives the duration of fading higher than a given attenuation threshold. Therefore the fade duration is always calculated for multiple threshold levels.
In our contribution a digital model with Markov chain will be introduced, which is also applicable to determine the statistical parameters of the fade duration. The model is based on the measurement data of a real LMS channel what has been used to calculate the model parameters.
The proposed model is a partitioned Fritchman’s Markov chain which is applicable to describe the stochastic fade duration process and also to calculate the Complementary Cumulative Distribution Function (CCDF) of the fade duration. The expressions to calculate the model parameter dependency on the threshold level will be also introduced. Therefore the model will be applicable to calculate the CCDF of fade duration for any desired threshold level which may lead us to the synthesis of attenuation time series in the future.