MMV-JSR based STAP method using MIMO radar

Abstract

To improve the performance of sparse representation based space-time adaptive processing methods, the multiple measurement vectors joint sparse representation (MMV-JSR) model of MIMO radar received signal of testing range cell is established. Then, MMV FOCal Underdetermined System Solver is applied to estimate clutter-target space-time spectrum. At last, clutter plus noise covariance matrix and the weight vector of STAP processor are calculated based on the clutter distribution obtained by using the rough priori knowledge of target. Numerical results demonstrate that our method has great performance of clutter suppression and target detection.