Fast Algorithm for Two-Dimensional Direction-of-Arrival Estimation Based on MSWF

In two-dimensional direction-of-arrival(DOA) estimation of two parallel linear arrays,a fast method is presented based on multi-stage Wiener filter(MSWF) to reduce the computational complexity. First,signal subspace is obtained quickly by using the forward recursions of the MSWF instead of estimating covariance matrix and eigen decomposition. Then,azimuth and elevation angles are estimated individually by MUSIC algorithm and paired automatically,which converts the 2-D estimation into two 1-D problems and decreases the computational complexity further. The simulation results indicate that the performances of the algorithm are better than that of DOA Matrix Method(DOAM) which is also based on the same array model. The proposed algorithm is also effective when elevation angles are equal and its computational complexity is low,so it is suitable for high real-time DOA estimation.