Recursive KA-STAP algorithm based on QR decomposition

The performance of space-time adaptive processing (STAP) for airborne radar decreases due to the nonstationarity of clutter in heterogeneous clutter environment. To solve this problem, a knowledge-aided space-time adaptive processing (KA-STAP) algorithm based on QR decomposition is proposed in this paper. It is a fast recursive algorithm implemented in the data domain directly without sample matrix inverse (SMI). The simulation results show that the recursive KA-STAP algorithm based on QR decomposition has the same weight vector with the SMI algorithm and better clutter suppression performance compared with traditional STAP.