Title :
A subspace rotation approach to signal parameter estimation
Author :
Paulraj, A. ; Roy, R. ; Kailath, T.
Author_Institution :
Stanford University, Stanford, CA, USA
fDate :
7/1/1986 12:00:00 AM
Abstract :
A new approach to Estimation of Signal Parameters by Rotational Invariance Techniques (ESPRIT) is described in the context of direction-of-arrival estimation, but is also applicable to other problems. The method relies on finding the underlying rotation between the common subspaces associated with an array of pairwise-matched and codirectional sensor doublets. ESPRIT has several remarkable advantages over earlier techniques such as MUSIC, and also provides asymptotically unbiased and efficient estimates.
Keywords :
Contracts; Electromagnetic diffraction; Electromagnetic fields; Electromagnetic propagation; Electromagnetic scattering; Geometry; Multiple signal classification; Parameter estimation; Sensor arrays; Sensor phenomena and characterization;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/PROC.1986.13583