DocumentCode
2164992
Title
Monte Carlo simulation for the prediction of the reliability of the receiver
Author
Wang, Yujiao ; Su, Donglin ; Chen, Wenqing
Author_Institution
EMC Lab., Beijing Univ. of Aeronaut. & Astronaut., Beijing
fYear
2008
fDate
2-5 Nov. 2008
Firstpage
1135
Lastpage
1138
Abstract
A statistical analysis approach, Monte Carlo (MC) method, which is applied to predict the reliability of a receiver, is presented in this paper. The model of amplitude modulated communication system is built in ADS. An approximation for the output signal-to-noise of nonlinear receiver system is given when the input consists of a carrier signal modulated and noise. Probabilistic models based on the measurement data for two kinds of noise are derived from Monte Carlo simulations. Statistical results illustrating the applicability of the present work to predict the performance of a communication system are also presented. At last we discuss the advantages and the further applications of MC method.
Keywords
Monte Carlo methods; amplitude modulation; radio receivers; reliability; Monte Carlo simulation; amplitude modulated communication system; carrier signal modulated; nonlinear receiver system; output signal-to-noise; reliability; statistical analysis; Amplitude modulation; Electromagnetic compatibility; Laboratories; Monte Carlo methods; Noise measurement; Receivers; Signal to noise ratio; Statistical analysis; Stochastic processes; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas, Propagation and EM Theory, 2008. ISAPE 2008. 8th International Symposium on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2192-3
Electronic_ISBN
978-1-4244-2193-0
Type
conf
DOI
10.1109/ISAPE.2008.4735425
Filename
4735425
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