Abstract: In order to improve the decreasing resolution ability under the environments like low signal noise ratio and small number of snapshots,two weighted projection methods were proposed respectively to signal subspace and noise subspace.The weighted values of signal subspace are reciprocal of margins between principle eigenvalues and noise power,and respective eigenvectors are weighted with them.To noise subspace,the elements of orthonormal basis are weighted with projection values which are gained by projecting integral value of steering vector in field of view to each element of orthonormal basis.Simulation results show that the proposed methods can decrease signal noise ratio threshold and snapshots threshold,so they have better resolution ability and higher precision in deficient snapshot and low signal noise ratio scenario.

Key words: Direction of arrival estimation(DOA estimation),Subspace projection,Weighted algorithm,High resolution