Three-dimensional Forward Looking Imaging Algorithm of Missile-borne Array Radar Based on Two-dimensional Adaptive Sparse Matching
The high-resolution imaging technique of missile-borne radar can obtain the high-resolution image of the attack area and provide guarantee for the follow-up target tracking and jamming recognition.It is an effective method to resist passive jamming.However,in the final guidance stage,the target is usually in front of the radar,so the synthetic aperture radar is invalid to achieve image,and imaging processing can only be completed by forward-looking imaging algorithms.The existing forward-looking two-di-mensional(2D)imaging algorithm can only obtain the information of range and azimuth in three-dimensional(3D)space,but cannot obtain the information of the pitch angle.In order to obtain the 3D information of target and improve the performance of ra-dar's subsequent jamming recognition and countermeasure,this paper proposes a 3D forward-looking imaging algorithm for missile-borne array radar based on 2D super resolution processing.It firstly obtains the 2D super resolution spectrum of each snapshot in the azimuth-pitch domain through the 2D adaptive sparse matching technique;then completes the signal accumulation according to the pointing direction of the real-time beam center,and finally gets the 3D forward-looking image of the target.Several sets of sim-ulation data are used for verification in this paper.The results show that the algorithm can reconstruct the azimuth and pitch infor-mation of the signal source under the condition of single snapshot,and effectively improve the 3D imaging resolution of the existing missile-borne radar system.