DocumentCode :
3052049
Title :
Estimation of Signal Parameters via Rotational Invariance Techniques - ESPRIT
Author :
Roy, R. ; Paulraj, A. ; Kailath, T.
Author_Institution :
Information Systems Laboratory, Stanford University, Stanford, CA 94305
Volume :
3
fYear :
1986
fDate :
5-9 Oct. 1986
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 invariance 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 are presented.
Keywords :
Antenna arrays; Contracts; Data models; Direction of arrival estimation; Kernel; Multiple signal classification; Parameter estimation; Sensor arrays; Signal processing algorithms; Signal resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Military Communications Conference - Communications-Computers: Teamed for the 90's, 1986. MILCOM 1986. IEEE
Conference_Location :
Monterey, CA, USA
Type :
conf
DOI :
10.1109/MILCOM.1986.4805850
Filename :
4805850
Link To Document :
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