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Optical Engineering

ESPRIT--Estimation of Signal Parameters via Rotational Invariance Techniques
Author(s): Richard H. Roy; Thomas Kailath
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Paper Abstract

High-resolution signal parameter estimation is a problem of significance in many signal processing applications. Such applications indude direction-of-arrival estimation, system identification, and time series analysis. A novel approach to the general problem of signal parameter estimation is described. Although discussed in the context of directionof- arrival estimation, ESPRIT can be applied to a wide variety of problems. It exploits an underlying rotational invariance among signal subspaces induced by an array of sensors with a translational invariance structure. The technique, when applicable, manifests significant performance and computational advantages over previous algorithms such as Burg's maximum entropy method, Capon's maximum likelihood method, and Schmidt's multiple signal classification.

Paper Details

Date Published: 1 April 1990
PDF: 18 pages
Opt. Eng. 29(4) doi: 10.1117/12.55606
Published in: Optical Engineering Volume 29, Issue 4
Show Author Affiliations
Richard H. Roy, Stanford Univ. (United States)
Thomas Kailath, Stanford Univ. (United States)

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