High-resolution and steady DOA estimation based on reconstruction matrix

Abstract

Direction of arrival (DOA) estimation of coherent signals is always an important problem on space spectrum estimation. Having studied SVD algorithm, a new method of DOA estimation of coherent signals is proposed based on Toeplitz matrix reconstructing. Firstly, the eigenvector corresponding to the largest eigenvalue is obtained from the received data covariance matrix, and a new Toeplitz matrix is reconstructed by correlation functions of every element and first element in the eigenvector. Secondly, orthogonal subspace algorithm is used to carry out DOA estimation. A great deal of computer simulations demonstrated that it is a high-resolution and steady DOA arithmetic without losing aperture. It provides a new approach of matrix regrouping algorithm applied in array signal processing.

Performance assessment for MUSIC-based DoA estimators

“…To use it with coherent signals, many techniques were developed to its capabilities with such signals. These techniques include Forward Spatial Smoothing (FSS) [8], Forward-Backward Spatial Smoothing (FBSS) [9][10][11][12], Singular Value Decomposition (SVD) [13], DoA Estimation using the Toeplitz Technique [14], Modified Virtual SVD (MV-SVD) [15], Virtual Array Spatial Smoothing (VSS) [16], and Modified VSS (MVSS) [17]. These diverse techniques, used for DoA estimation, however they have to be compared and tested against each other under the same conditions to find out the strengths and drawbacks of each technique.…”