A reduced-rank STAP method based on solution of linear equations

STAP is an effective method for clutter suppressing and Reduced-rank STAP can reduce the calculation quantity as well as memory capacity. The connection between the eigenvectors of the clutter covariance matrix and the reduced-rank subspace is analyzed. A method based on the solution of linear equations which can get the whole eigenvectors of the minimum eigenvalues is proposed. By the method, the reduced-rank STAP can be done in the noise subspace without eigen-decomposition. Analysis is made about the distribution of SINR metric in the eigen-space and the solution space. Finally, simulations via real data proved the validity and correctness of the method.