空间电子技术2023，Vol.20Issue(6)：22-29,8.DOI:10.3969/j.issn.1674-7135.2023.06.004
基于小波神经网络的PIM功率时间序列预测
Prediction of passive intermodulation based on wavelet neural network
摘要
Abstract
Passive intermodulation is one of the key factors which have an influence on the performance of communication systems.It is found that the PIM signal is not a fixed value,but a non-stationary signal which varies with time.With the characteristic of time series of PIM signal,a predicting method on PIM power is proposed based on wavelet neural network in this paper.Firstly,the predicting model and its predicting method on wavelet neural network are described in detail.Secondly,as the verification object,the coaxial connector is chosen and the time series of third-order PIM power is obtained through the PIM testing system.Lastly,predicting model based on the wavelet neural network is used to predict the subsequent PIM power with the obtained time series.And it is verified that the wavelet neural network has a good performance on predicting PIM power by comparing the predicted results and experimental results.This study is helpful to develop suppression technology on PIM.关键词
无源互调/小波神经网络/时间序列Key words
passive intermodulation/wavelet neural network/time series引用本文复制引用
白春江,陈翔,何鋆,白鹤,胡天存,崔万照..基于小波神经网络的PIM功率时间序列预测[J].空间电子技术,2023,20(6):22-29,8.基金项目
国家重点实验室基金项目(编号:6142411112102) （编号:6142411112102）
