High-Resolution Array with Prony, MUSIC, and ESPRIT Algorithms

摘要

This report investigates the array high-resolution properties of threealgorithms: the Prony algorithm the MUSIC algorithm, and the ESPRIT algorithm. MUSIC has been much studied due to its excellent high-resolution properties in all but the most correlated cases. A variation of it called spatially averaged MUSIC performs well even in the case of perfectly correlated signals. The Prony technique has been less studied in an array processing context, but is shown to perform as well as spatially averaged MUSIC. ESPRIT is a recently developed eigenspace-based technique that has the same excellent lent resolution properties as MUSIC, but is much more computationally efficient. It can also be adapted to the correlated case. Array processing, High resolution.