Prediction of Passive Intermodulation Power Level Based on Double Exponential Function Model and Genetic Algorithm
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 functions 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 algorithms superiority is showed in passive intermodulation distortion power prediction.
double exponential function model genetic algorithm passive intermodulation
Jiang-hu Jiang Shi-quan Zhang Shao-zhou Wu Gang Ba
Department of Communication Engineering, Engineering College of CAPF, Xian, P.R.China, 710086
国际会议
哈尔滨
英文
307-310
2011-07-26（万方平台首次上网日期，不代表论文的发表时间）