Intelligent Jamming And Anti-Jamming Communication Technologies And System Implementation Based On Electromagnetic Spectrum Characteristics

With the continuous development and innovation of wireless communication technology,the application of wireless devices and systems continues to proliferate,resulting in increasingly fierce conflicts between the growing demand for electromagnetic spectrum resources and limited electromagnetic spectrum resources.Therefore,it is urgent to solve the problems of radio frequency conflict and efficient spectrum resource reuse.Electromagnetic spectrum resources are also the focus of competition among all parties in the field of communication confrontation,the core goal of communication confrontation is to gain control over electromagnetic spectrum resources,and its main means is to use intelligent jamming and anti-jamming communication technologies to suppress the use efficiency of the other party’s communication system and ensure the normal use efficiency of its own communication system.However,the current jamming and anti-jamming communication technologies still has some shortcomings,such as the traditional frequency hopping system is easy to be tracked and interfered due to the leakage of the pre-negotiated frequency hopping sequence,or the cognitive frequency hopping system only updates the frequency when it is interfered.This point leads to a higher system packet loss rate,and the jamming system has higher and higher requirements on the receiver’s perception speed and transmitter agility.Against this background,this thesis studies the intelligent jamming and anti-jamming communication technologies based on electromagnetic spectrum characteristics.The main contributions of this thesis are summarized as follows:Firstly,this thesis proposes an anti-jamming communication method without common control channel,which integrates independent link establishment and frequency conversion is proposed.In a complex electromagnetic environment,the communication node of the calling party and the communication node of the answering party do not need a common control channel,and send the communication data packets based on the asymmetric encryption algorithm to the other party.The receiver decrypts the content of the data packets through the asymmetric encryption algorithm and uses the call and response matching mechanism independently establishes a two-way communication link.In each subsequent communication time slot,both parties will detect the electromagnetic spectrum environment in which they are located,and independently update the characteristic parameter set of the transmitted and received signals to achieve autonomous frequency conversion and anti-jamming communication.After many tests on the anti-jamming communication system integrating independent chain building and frequency conversion,the experimental results show that the autonomous secrecy and secure transmission technology of communication links can realize the second-level two-way autonomous communication chain establishment between any nodes in the communication system,and realize confidential and secure transmission of control data and business data,the average error of the synchronization time of autonomous frequency conversion is 5 ms,the collision probability of the autonomous frequency conversion process is 3%,the probability of being interrupted by jamming of the anti-jamming system is 2.3%,and the average Pearson correlation coefficient of the frequency conversion data set is 0.0822,which indicates that the correlation between frequency conversion datasets is extremely weak,and it is difficult to be accurately predicted by the jammer.Secondly,this thesis proposes an intelligent jamming method based on electromagnetic spectrum feature cognition.This method organically combines the signal feature identification method based on spectrum sensing and the signal feature prediction method based on deep learning.This method effectively interferes with the target communication system by identifying the characteristic parameter set of the signal transmitted by the target communication system,predicting the characteristic parameter set of the signal transmitted by the target communication system in the next time slot,and generating and transmitting the jamming signal with the same characteristic parameters as the signal transmitted by the target communication system.The jamming mode can be adaptively switched according to the characteristics of the electromagnetic spectrum,which is used for timely and effective jamming of the target communication system in the communication confrontation.After several tests of the intelligent jamming system based on electromagnetic spectrum feature cognition,the experimental results show that this method can effectively reduce the requirements for the receiver’s sensing speed and transmitter agility compared with the traditional sensing and tracking jamming scheme.With regard to galois pseudo-random noise sequence frequency conversion communication system,the accuracy of predicting sequences gradually increases as the proportion of training data increases,and the success rate of jamming is up to 86%.