Estimation of Signal Parameters via Rotational Invariance Techniques-ESPRIT

Abstract

A new approach to the general problem of signal parameter estimation is described. Though the technique ESPRIT is discussed in the context of direction-of arrival estimation, it can be applied to a wide variety of problems including spectral estimation. ESPRIT exploits an underlying rotational invariance among signal subspaces induced by an array of sensors with a translational in variance structure (e.g., pairwise matched and co-directional antenna element doublets) and has several advantages over earlier techniques such as MUSIC including improved performance, reduced computational load, freedom from array characterization calibration, and reduced sensitivity to array perturbations. Results of computer simulations carried out to evaluate the new algorithm arc presented.