Research On Interference Detection And Identification Technology In Satellite Mobile Communication System

With the rapid development of information technology,the demand for global communication is increasing rapidly,which makes the satellite mobile communication,which can provide global data connection and real-time voice transmission,become a hot topic of research.However,with the deterioration of communication environment,satellites are also faced with the influence of complex and changeable electromagnetic environment and various types of interference,which affect the quality and reliability of communication in different degrees.In this paper,the method of signal processing is adopted,and the scheme of interference detection and identification in the satellite mobile communication system is putting forward to realize the function of interference detection and identification in the satellite mobile communication system.This paper mainly focuses on the following aspects:1.Introduce the overall structure diagram of the satellite mobile communication system,and introduce and analyze the key technologies.Aiming at the typical jamming in satellite mobile communication system,such as single-tone jamming,multi-tone jamming,noise jamming,sweep jamming,pulse jamming and partial band jamming,the mathematical model is given and the frequency domain characteristics of different jamming signals are analyzed.2.Through the analysis of the traditional frequency domain interference detection method,Continuous Mean Removal(CME)and Forward Continuous Mean Removal(FCME),the interference detection method based on polynomial interpolation processing is proposed in order to reduce the influence of the noise base on the performance of interference detection.Secondly,in order to set the threshold value adaptively,morphological method is used to preprocess the received signal,and an adaptive interference detection method based on morphological threshold is proposed.The simulation results show that the two algorithms proposed in this paper have good performance of interference detection.3.For the study of interference classification and recognition,first of all,feature parameters were extracted from the perspective of frequency domain,such as normalized 3d B bandwidth,frequency domain peak-to-average ratio,average spectrum flatness coefficient,frequency domain moment kurtosis,frequency domain moment skewness.Then the decision tree and the interference recognition algorithm combining support vector machine and decision tree are used to realize the classification and recognition of the above interference.The simulation results show that the two algorithms have good detection effect.When the JNR reaches 0d B,the overall recognition probability of the two methods can reach more than 90%,and the overall recognition probability of the proposed method combining support vector machine and decision tree in the simulation process is more than 90%,showing a good interference classification effect.