针对机载MIMO雷达杂波抑制问题，提出了一种降维STAP快速算法——F-JDL(Fast JDL)算法，即首先利用包含感兴趣观测角度形成的过完备基集合将空时数据准确映射到局域处理区域的角度-多普勒单元，之后对于降维后的杂波协方差矩阵通过矩阵分块的方法进行求逆运算，进一步提高处理速度。该方法充分结合JDL降维方法及矩阵求逆快速算法的优点。仿真结果表明，该方法充分利用了MIMO雷达杂波自由度较大的优势，同时大大降低了计算量和样本需求，保证了高效的算法实时性，具有较好的杂波抑制性能。

In order to solve the clutter suppression problem of MIMO radar,a rapid dimension-reduced STAP algorithm,Fast JDL (F-JDL) algorithm,is proposed.Firstly,the space-time data is reflected accurately to the angle-Doppler bins of localized processing region by employing an over-complete basis set,which is consisted of all the interested testing angles.Then the matrix block-inversion is used to dispose the clutter covariance matrix.This method combines the advantages of both the JDL dimension-reduced algorithm and matrix block-inversion.The simulation results show that:F-JDL algorithm makes full use of the advantage of MIMO radar of large DOF (Degree of Freedom),and significantly decreases the computational cost and training samples required,which presents better clutter suppression performance.