Research Of Fault Prediction Method For RF Amplifier Module

With the rapid development of integrated circuits,radio frequency modules have been widely used in integrated circuits.Among them,the radio frequency amplification module is the most widely used radio frequency module in integrated circuits.Therefore,the research of testing and failure prediction methods for radio frequency amplification circuits is for the development of integrated circuits.Very important.It is always a difficult problem for the industry to solve the problems that it is difficult to extract the feature parameters of the RF circuit fault prediction,the fault prediction is difficult to achieve,it is difficult to select a suitable prediction method;this article has drawn a set of applicable to the RF amplifier circuit failure through related research.Predicted scheme;first simulate and study the performance degradation of RF circuit,and then use the relevant research method of low-frequency analog circuit and RF-related characteristic parameter data to combine the RF circuit analysis;in the research of RF circuit fault prediction,adopt statistical learning method.This topic mainly studies how to realize the fault prediction method of RF amplification module.The research contents are as follows:(1)The research on the performance degradation of the RF amplifier circuit was completed.If implanting a test node in a radio frequency circuit will affect the performance parameters of the radio frequency circuit itself,using the radio frequency circuit output characteristic S parameter to predict the failure of the radio frequency circuit is a cost-saving and reliable method.Through the detailed analysis of the principle of the performance degradation of the RF circuit and the simulation experiment,the data that characterize the degradation of the RF circuit performance is obtained.(2)The radio frequency amplifier circuit is evaluated for health by using a modified Mahalanobis distance algorithm based on principal component analysis.For the Sparameters that characterize the RF amplifier circuit,the parameter S21 representing the circuit gain does not change significantly in the fault simulation experiment,and the analysis is troublesome.The algorithm based on the principal component analysis method to improve the Mahalanobis distance is used for the first time in the failure of the RF circuit.In the prediction,the weak gain degradation trend is effectively amplified and a fault indicator is established.By measuring the Mahalanobis distance between the performance degradation state feature vector and the normal state feature vector,the health status of the radio frequency circuit can be considered in the overall situation.to evaluate.(3)The research on the fault prediction algorithm of RF amplifier circuit based on HSMM is completed.Through the study of HMM algorithm theory,the improved algorithm HSMM is introduced,the advantages of HSMM in the state estimation and remaining life prediction of continuous observation sequences are described,and the training scheme of CHSMM(continuous HSMM)is given.Finally,the research based on CHSMM is studied.The method for predicting the remaining life of a nonlinear system is to identify the current system degradation state and perform life prediction for the current state.(4)The verification of the failure prediction algorithm of RF amplifier circuit based on HSMM is completed.Through Matlab programming software,the modeling of HSMM,the identification of degenerate state and the prediction of the remaining life of the current state are completed.The feasibility and effectiveness of the algorithm are verified.Finally,the HSMM algorithm and the HMM algorithm are compared.The results show that the HSMM has a better effect on the modeling ability and the degraded state recognition ability.