A numerically robust method for DOA estimation

In this paper, a numerically robust method for direction of arrival (DOA) estimation based on the multiple signal classification (MUSIC) algorithm is proposed. The new signal subspace is obtained by the column space of the transform matrix in the Householder-based Multistage Wiener Filter (HMSWF). The Householder transform matrix in HMSWF ensures the unitary blocking operation and significantly strengthens the orthogonal property between the basis vectors in finite-precision implementation. Compared with the traditional MSWF, simulation results demonstrate the numerically robust performance of the proposed method.