Research On Countering Radar Mainlobe Deceptive Jamming Based On Sparse Recovery

Mainlobe jamming suppression is quite important for the survival of the radar.Existing researches about countering mailobe jamming are mostly for mainlobe blanket jamming,such as adaptive beamforming,blind source separation and so on.However,the research for countering mainlobe multiple false target deceptive jamming is few.There are two difficulties in countering mainlobe multiple false target deceptive jamming.One is the similarity of the target echo and jamming signals in the spatial domain,and the other is their similarity in the temporal domain.In recent years,with the development of sparse recovery and its application in anti-jamming and DOA(direction-of-arrival),it provides the possibility for countering mainlobe deceptive jamming.This paper adopts convex optimization sparse recovery to study countering various kinds of mainlobe multiple false target deceptive jamming patterns.The main contributions and innovative points of this dissertation are listed as follows:1.Put forward the method of countering the parameter-modulated mainlobe multiple false target deceptive jamming by temporal sparse recovery.Build the models of target echo and time-delay repeater jamming,target echo and SMSP(smeared spectrum)jamming,target echo and frequency-shift jamming from the same direction and obtain the SMV(single measurement vector)model by constructing corresponding overcomplete dictionaries.Then analyze the stable sparse recovery condition for the SMV model.Under the stable recovery condition,solve the Lagrangian function to obtain the sparse coefficient vector and counter mainlobe multiple false target deceptive jamming according to the waveform difference between the target echo and jamming signals.The method is quite efficient for target echo and jamming signals which are overlapped in the temporal domain.2.Put forward the method of countering the pulse-modulated mainlobe multiple false target deceptive jamming by temporal sparse recovery.Build the models of target echo and C&I jamming,target echo and rearranged order jamming from the same direction and obtain the SMV model by constructing corresponding overcomplete dictionaries.Under the stable recovery condition,solve the Lagrangian function to obtain the sparse coefficient vector and counter mainlobe multiple false target deceptive jamming according to the waveform difference between the target echo and jamming signals.3.Put forward the method of countering the adjacent mainlobe multiple false target deceptive jamming in two dimensional plane by spatial-tempo joint sparse recovery.First,build the two dimensional reconstruction model on contering adjacent mainlobe deceptive jamming in two dimensional plane.Extend the multiple sampling array signal processing model to the two dimensional reconstruction model by constructing the temporal waveform dictionary and the spatial angular dictionary.Second,analyze the unique and stable condition of the sparsest solution of two dimensional reconstruction model.Third,prove a theorem which ensures the sparse coefficient vector unchanged by random projection for the SMV model.Finally,under the stable sparse recovery condtion,convert the two dimensional reconstruction model to the SMV model.The dictionary of the SMV model is the spatial-tempo joint dictionary.Adopt random projection to obtain a new SMV model and solve it by basis pursuit to obtain the sparse coefficient vector.Reshape the sparse vector to obtain the sparse matrix of the two dimensional reconstruction model.The row index and the column index of the nonzero element of the sparse matrix correspond to the temporal waveform and the spatial angle of each signal.The method has high resolution capability in both the temporal domain and the spatial domain and it can be used to counter mainlobe multiple false target deceptive jamming according to the waveform and angle difference between the target echo and jamming signals.4.Put forward the method of countering the adjacent mainlobe multiple false target deceptive jamming in three dimensional space by spatial-tempo joint sparse recovery.First,build the model on countering adjacent mainlobe deceptive jamming in three dimensional space.Adopt an L-array to sample incident siganls and to obtain two multiple sampling models.There are two angular parameters for the steering vectors in two models which are the azimuth angle and the elevation angle.By introducing the spatial angle,the steering vectors then have only one angular parameter in two models.Extend the spatial angle to be the angular dictionary and construct the temporal waveform dictionary to obtain two two dimensional reconstruction models.Then,form the method of countering the adjacent mainlobe multiple false target deceptive jamming in three dimensional space.Under the stable sparse recovery condtion,solve two two dimensional reconstruction models through Kronecker product,random projection and basis pursuit.Obtain the spatial angle and time-delay of jamming signals and target echo for each model.The spatial angles are different for different models.Thus,there are two choices to counter mainlobe jamming by the spatial angle.