Comparative performance of ESPRIT and MUSIC for direction-of-arrival estimation

Abstract

ESPRIT is a new algorithm for signal parameter estimation with applications to direction-of-arrival estimation in a multiple source environment. It has considerable computational advantages (e.g., faster and applies to sensor arrays with unknown and nearly arbitrary geometry requiring no array calibration and storage) over the well-known conventional MUSIC algorithm. Herein, results of computer simulations carried out to compare their resolution and error (bias and variance) performance are presented. A new multi-dimensional spectral measure for the MUSIC algorithm is also introduced and preliminary investigations of its performance are presented.