A Fast DOA Estimating Method of Wideband Signals Based on Krylov Subspace

A fast DOA estimation method of wideband signals based on Krylov subspace has been proposed in the paper. At first, A focusing matrix is formed by expanding the steering matrix using the Jacobi-Anger expansion, then the Krylov subspace is educed using the Multistage Weiner Filtering arithmetic. Because the Krylov subspace is equivalent to the signal subspace under some conditions, signals DOA can be estimated. This method needs no direction pre-estimation or eigenvalues decomposition, which needs less computational cost than other methods. Simulation results demonstrale the effectivenes of the method.