NDLI: Prediction of passive intermodulation power level based on double exponential function model and genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Jiang-hu Jiang Shi-quan Zhang Shao-zhou Wu Gang Ba
Copyright Year	2011
Description	Author affiliation: Department of Communication Engineering, Engineering College of CAPF, Xi'an, China, 710086 (Jiang-hu Jiang; Shi-quan Zhang; Shao-zhou Wu; Gang Ba)
Abstract	The general idea and method of the predicting of passive intermodulation power level based on double exponential model is introduced in this paper. The general expression is deduced by using the measurement data of lower-level passive intermodulation power to predict higher-order passive intermodulation power level. The function's nonlinear coefficient is fitted by using genetic algorithm. Numerical calculation is realized on the basis of the measurement data of three-order passive intermodulation to predict fifth-order passive intermodulation power level. The calculated results are compared with the experimental data and the effectiveness and correctness of the algorithm is validated. The genetic algorithm's superiority is showed in passive intermodulation distortion power prediction.
Starting Page	307
Ending Page	310
File Size	504218
Page Count	4
File Format	PDF
ISBN	9781424497928
e-ISBN	9781424497935
DOI	10.1109/CSQRWC.2011.6036945
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Genetic algorithm Double exponential function model Bismuth Passive intermodulation
Content Type	Text
Resource Type	Article

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