Virtual aperture MIMO radar target detection method based on two-dimensional block sparse recovery

The invention discloses a virtual aperture MIMO radar target detection method based on two-dimensional block sparse recovery, and solves the problems of high distance sidelobe, poor small target detection performance and the like of a traditional virtual aperture MIMO radar. According to the method, a two-dimensional block sparse recovery method is adopted, and distance side lobes caused by incomplete orthogonality of waveforms are effectively inhibited by utilizing similarity and sparsity prior information of a distance-Doppler graph between virtual apertures in a target scattering information inversion problem; and the weak and small target detection performance loss caused by strong clutters and strong target side lobes is reduced, and the detection performance of the virtual aperture MIMO radar is improved. 本发明公开了一种基于二维块稀疏恢复的虚拟孔径MIMO雷达目标探测方法，克服了传统虚拟孔径MIMO雷达存在的距离旁瓣高、小目标检测性能差等问题；该方法采用二维块稀疏恢复的方法，通过在目标散射信息反演的问题中利用由虚拟孔径间距离-多普勒图的相似性与稀疏性先验信息，有效抑制了由波形不完全正交而引发的距离旁瓣，减小了强杂波与强目标旁瓣造成的弱小目标检测性能损失，提升了虚拟孔径MIMO雷达的检测性能。