Recursion Subspace-based Method for Bearing Estimation: A Comparative Study

In many practical applications of sensor array processing, accurate bearing estimation with low complexity is of significant interest. In this paper, we present a Recursion subspace-based method (RSM) to estimate the bearings of incident signals impinging on a Uniform linear array (ULA), and perform the comparison between the RSM method and the signal Subspace method without eigendecomposition (SUMWE). Numerical results are presented to compare the performance the RSM method with that of the SUMWE method.