Research On Key Technologies Of Airborne Radar Jamming System

In modern air-to-air combat,the electronic warfare environment for both the hostile side and the host is becoming increasingly complex.In order to avoid hostile attacks on the host,it is crucial to interfere with the airborne radar of the hostile.Actively researching the key technologies of airborne radar jamming systems,conducting threat level assessments of hostile airborne radars,selecting interference patterns,and studying interference generation methods are all of great significance.The main work and contributions of the thesis are as follows:1.For air-to-air combat scenarios,the overall architecture of the airborne radar jamming system is presented,and dynamic threat and interference rule libraries are constructed.Firstly,the architecture of the dynamic threat library and interference strategy library are introduced,and the updating rules and methods for the two libraries are respectively studied.Then,the conventional methods for threat level assessment and interference pattern selection for airborne radar are introduced,and the shortcomings of conventional methods are analyzed.2.Based on the shortcomings of conventional methods for airborne radar threat level assessment,the threat assessment indicators are determined and membership functions are established by combining our own airborne radar detection and reconnaissance parameters.Firstly,threat level assessment of the hostile’s airboard radar was conducted using the Multiple Attribute Decision Making(MADM)method and Particle Swarm Optimization algorithm-improved Fully Connected Neural Network(PSOFC),and the effectiveness of the two assessment methods is verified through simulation experiments.Then,the factors affecting the accuracy of threat level assessment of the hostile’s airborne radar were studied.The impact of signal-to-noise ratio and radar descriptor word(RDW)parameter accuracy on the accuracy of threat level assessment was analyzed through simulation.3.In response to the shortcomings of the conventional airborne radar jamming pattern selection method,research was conducted on an intelligent selection method for active jamming patterns of airborne radar based on game theory algorithms and deep Qnetwork(DQN)algorithms.The theoretical research of the two decision-making methods is conducted,and the effectiveness of the two decision-making methods is verified through simulation experiments.In addition,a process for selecting active interference patterns is proposed for the case where the RDW parameter of the hostile airborne radar is insufficient.4.Research is conducted on the generation methods and hardware implementation design of active interference signals for airborne radar.Firstly,the principles of active suppression,deception,and composite interference signals are analyzed,and software simulation analysis is conducted on interference effects.Then,hardware implementation of active suppression,deception,and composite interference for airborne radar is carried out based on the FPGA hardware platform.