A Direction-of-Arrival Estimation Method via Joint Diagonalization

A new Direction-of-Arrival (DOA) estimation method based on a joint diagonalization strategy for fast blind source separation (named FBSS-DOA) is proposed in this paper. A group of spatial temporal correlation matrices of the received signals by an array of sensors possessing diagonal structure is generated. A cost function of joint diagonalization for blind source separation is introduced. For solving this cost function, a fast multiplied iterative algorithm in complex-valued domain is utilized. The demixing matrix is then estimated, the manifold matrix is derived and the estimation of DOA can furthermore be realized. Compared with some other state-of-art existing DOA algorithms, the proposed FBSS-DOA algorithm has more generality. Numerous simulations illustrate that this algorithm possesses more accurate DOA estimation performance.