Research On Radar Active Deceptive Jamming Suppression Method Based On Low-rank Sparse Decomposition Model

As an important information sensing equipment on the modern battlefield,radar technology plays a huge role in reconnaissance and surveillance,target detection,and weapon guidance.Therefore,in modern warfare,in order to compete for the use and control of the electromagnetic spectrum,radar systems have become the primary target to be attacked.With the continuous progress of radar jamming technology,especially with the generation and development of digital radio frequency memory(DRFM)technology,the jammer based on it can generate various forms of active deceptive jamming signals,which can effectively confuse and disrupt the detection and tracking capabilities of the target radar.Therefore,there is an urgent need for radars to improve their anti-jamming capability and complete detection tasks in complex electromagnetic countermeasure scenarios.In order to improve the ability of countering active deceptive jamming of radar,this paper combines the theory and methods of low-rank sparse decomposition,time-frequency analysis,and robust principal component analysis(RPCA)to carry out research work on radar active deceptive jamming suppression methods.The main contents and research results of the paper are as follows:1.The generation mechanism and jamming characteristics of radar active deceptive jamming are studied and analyzed.We firstly introduce the structural composition and working principle of DRFM jammer.Then,according to the different generation of jamming,the active deceptive jamming can be divided into two categories: drag-and-drop deceptive jamming and dense dummy target deceptive jamming,and the mathematical model and jamming characteristics of them are discussed in detail.In addition,the influence of key jamming parameters such as sampling repetition period and sampling duty cycle on the jamming effect of interrupted sampling repeater jamming(ISRJ)is further analyzed,which lays the foundation for the subsequent suppression of active deceptive jamming.2.The method based on fractional Fourier transform(Fr FT)processing joint narrowband filtering against ISRJ is studied,and the effect of the passband range of the fractional domain narrowband filter on the jamming suppression performance of this method is verified by the jamming suppression simulation experiment of ISRJ.At the same time,the method based on Stretch processing combined with low-pass filtering against distance deceptive jamming is studied,and then the limitations of this method are studied and analyzed by the simulation experiment against range gate pull off(RGPO)jamming.3.We propose a low-rank sparse decomposition model to counter radar active deceptive jamming.This method firstly constructs the time-frequency sequence of radar received echoes by short time Fourier transform(STFT).Due to the modulation of time delay,the jamming signal exhibits high sparse characteristics as it migrates through distance resolution cell in the image sequence,while the target signal exhibits low rank characteristics as the observation time is short and the velocity and distance remain approximately constant.Based on the above characteristics of jamming and target signal,this paper uses RPCA to perform low-rank sparse decomposition of this image sequence,and achieves the separation of active deceptive jamming and target signal in every time-frequency image,and then effectively suppresses jamming.The jamming countermeasure simulation experiments verify the effectiveness and universality of this method.In addition,compared with the traditional Stretch method and Fr FT method,the proposed method has the characteristics and advantages of more obvious jamming suppression effect,less energy loss of target signal,and a wider range of jamming signal types to fight against.