Robust min-norm algorithms for coherent sources DOA estimation based on Toeplitz matrix reconstruction methods

Abstract

Most of the classical high-resolution algorithms such as ESPRIT, MUSIC or Min-Norm, demonstrate their ability to estimate the directions by which non-coherent signals are arrived on a sensor array. However, the need to enhance this kind of algorithm is becoming increasingly important in order to obtain good estimation also in coherent environments. In this paper, two different algorithms for Direction-of-Arrival (DOA) estimation are devised. These two new algorithms improve the performance of the Min-Norm algorithm by incorporating decorrelation techniques as a tool to overcome coherent source estimation problems. Simulation examples are conducted to validate the robustness and the effectiveness of the new proposed algorithms compared to the conventional Min-Norm high resolution algorithm.