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 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.