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¹Ø¼ü×Ö£º³£Ó÷ֲ¼Ëæ»úÊý£» µäÐÍÐŵÀÄ£ÐÍ£» jake·ÂÕæÆ÷£»¶à¾¶Ð§Ó¦Ä£ÐÍ£»

Î÷ÄϽ»Í¨´óѧ±¾¿Æ±ÏÒµÉè¼Æ£¨ÂÛÎÄ£© µÚIVÒ³ Abstract

Random number used in the communication system is the foundation of communication system simulation technology. For example, in the process of channel simulation, the building of all kinds of channel models is based on common random number. In addition, our country¡¯s high-speed railway is in the stage of rapid development. And the distribution character of the parameters, which are used in the process of simulation and analysis of the high-speed railway channel such as the number of multipath¡¢ propagation delay¡¢the radio waves incident phase¡¢attenuation coefficient, are also related with the common distribution random numbers. Therefore, the research of channel modeling which is based on random number simulation has important practical significance to the development of communication and our country¡¯s high-speed railway.

This subject derives the algorithm of generating these distribution random numbers by introducing several common probability distributions on the probability and statistics and simulates the results on VC++6.0. Then according to the relation between the channel model and the random number£¬it focuses on the analysis and simulation of four typical channel models such as Gaussian, Rayleigh ,Rice and nakagami. Finally, according to the main characteristics of high-speed railway channel, the statistical characteristics of radio wave parameters are analyzed on the basis of the research of the characteristics of the radio wave propagation. Using the jakes channel model which is commonly used in channel simulation, a high-speed railway channel model is established by dividing into two steps: Doppler effect model and multipath effect model. The jakes channel model is analyzed and simulated.

This thesis first introduces the application and the algorithm of of several distributions random numbers which are widely used in the communication system, such as uniform distribution, exponential distribution and other basic distribution. Then simulates on MFC and draws the results. The next chapter covers four typical channel models like Gaussian, Rayleigh ,Rice and nakagami, and the relationship with their related random number. On the basis of common distribution random number, we can get random numbers which are related with the four typical channel model. At last, it discusses the current hotspot ¡ª¡ª high-speed railway channel model. In this part, the background of the channel and its main features are the first section, then focuses on the channel model which is based on the Jakes channel simulation model.

Î÷ÄϽ»Í¨´óѧ±¾¿Æ±ÏÒµÉè¼Æ£¨ÂÛÎÄ£© µÚVÒ³ Key words£ºcommon distribution random numbers; typical channel model; jake emulator;

multipath effect model

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