【摘要】 本文提出了一种基于空时导向矢量作为变换阵来实现降维的局域联合处理(JDL)算法。该算法的变换阵由局域化所选取的几列空域、时域导向矢量作直积得到,导向矢量以任意间隔进行选取。这种JDL算法的降维和局域处理方式简单而易实现,相对于基于DFT的JDL算法,它的实现没有任何限制条件,算法性能大约提高4dB。该算法不仅适用于二维空时自适应处理,同样适用于三维空时自适应处理,仿真证明了该算法的可行性和有效性。更多还原

【Abstract】 The JDL algorithm,which is based on space-time steering vector serving as the transformation matrix to reduce dimensions and localize regions,is presented in this paper.This transformation matrix is formed by the Kronecker product of some lines of spatial and temporal steering vectors in the localized region,which could be selected at any space.The reduced-dimension processing and localized region processing of this JDL algorithm is simply and easily achieved,and it eliminates the restrictions which are just required in the JDL algorithm based on the Discrete Fourier Transformation(DFT),and the performance can be significantly improved to 4dB. This algorithm is not only applied to the two-dimension STAP,but also to the three-dimension STAP,the simulation shows that it’s executive and efficiency.更多还原