| The future of radar development is going to become more intelligent.The paper is mainly composed of intelligent jamming recognition,intelligent jamming suppression algorithms,and intelligent jamming suppression performance evaluation.There have been more and more radar signal processing processes integrated with and development of artificial intelligence.The combination will make the radar signal processing capabilities gradually stronger and better,which is able to cope with the increasingly complex electronic environment.Based on the background above,the article has conducted a detailed study on radar intelligent suppression of DRFM range false target jamming technology.The article first introduces the concept of DRFM range false target jamming and modeling simulation,which includes two types of typical false range target jamming: multi-false targets jamming and interrupted sampling and repeater jamming.The latter is more variable and appears later than the former.On this basis,the article has studied and innovated the two interference suppression algorithms mentioned above.The existing multiple-false target interference suppression algorithms based on slow time domain pulse diversity and interrupted sampling and repeater jamming suppression algorithm based on time-frequency domain analysis are introduced.Then the paper proposes a method based on clustering to suppress DRFM multiple-range false targets and DRFM interrupted sampling and repeater jamming suppression algorithm based on clustering.The jamming suppression performance of different algorithms are compared.Then the effectiveness of algorithm proposed are verified via test data.Considering the intelligent realization of radar processing flow,the following three points were made: First,a range false target jamming feature parameters library is established,the working principle of BP neural network is introduced,and a jamming sensing system based on BP neural network is designed and implemented.Second,a range false target jamming suppression algorithm library is set up,the basic theory of game theory is introduced,and an optimal algorithm for interference suppression strategies based on game theory is designed and implemented.Third,the related knowledge of analytic hierarchy process is introduced and the anti-jamming suppression performance evaluation system based on analytic hierarchy process is designed and implemented.Then,the above three parts were simulated and verified respectively,and the final results were satisfactory,which realized the conversion from theory to practice. |
