Research On Interference Cognition Technology Of Burstcommunication System

In the complex electromagnetic environment,the burst communication system is faced with a variety of jamming threats.The signals received by the receiver include useful signals generated by the communication,inherent noises of the system and jamming signals emitted by the enemy.Therefore,it is necessary to ensure the reliability of the communication system through specific interference elimination measures.However,any communication anti-interference method is targeted,and it is difficult to find an anti-interference method that can resist all jamming types in the current communication countermeasures.Therefore,it is necessary to recognize the jamming conditions in the environment and provide a basis for the communication receiver to make the best anti-interference means for different interference styles.This paper focuses on the classic jamming type targeting the burst communication system,jamming from the cognitive system overall scheme design,pressing type jamming based on multidimensional feature recognition algorithm and based on the information level of dexterous interference cognitive technology from several aspects such as cognitive technique research of burst communication system jamming,and complete the jamming of cognitive performance simulation analysis.The main contents are as follows:The first part first introduced the research background and the status quo,then the communication model of the system is described and the jamming threat is analyzed,finally in the type of typical interference system modeling.This paper expounds the mechanism of disturbance signal generation and jamming model including compression type and smart type.The second part mainly studies and designs the disturbance cognition scheme of burst communication system.Firstly,the cognitive scheme is studied and designed on the whole,and the general framework of the cognitive system of jamming is given.Then,the cognitive schemes of compressive jamming and smart jamming are developed respectively.The third part mainly studies the compression jamming cognitive technique based on multidimensional feature.The types of compression jamming include single-tone jamming,aiming narrow-band jamming,multi-tone jamming,wide-band noise blocking jamming,linear FM jamming,sinusoidal FM jamming and noise FM jamming.This part firstly studies the principle and method of extracting features from three dimensions of time domain,frequency domain and transformation domain,and analyzes the separation performance of each feature.Then the principle and design of classifier based on decision tree and BP neural network are studied.Finally,the cognitive performance of the jamming is simulated.The fourth part mainly studies the cognitive technology of smart jamming based on information level.All smart interferences are high-frequency pulse interferences,including the response occupying jamming based on inquiry signal,the response occupying jamming based on synchronous head and the response occupying jamming based on sidelobe suppression.This part firstly studies the pulse cognition method,formulates the general process of pulse cognition,and studies the matching algorithms of various working mode communication signals such as basic pattern signal matching algorithm,M4 pattern signal matching algorithm and M5 pattern signal matching algorithm.Then,based on the impulse cognitive results,the smart jamming cognitive technique is studied.Finally,the recognition performance of smart jamming is simulated.