ESPRIT--Estimation of Signal Parameters via Rotational Invariance Techniques

Richard H. Roy III; Thomas Kailath

doi:10.1117/12.55606

1 April 1990 ESPRIT--Estimation of Signal Parameters via Rotational Invariance Techniques

Richard H. Roy III, Thomas Kailath

Author Affiliations +

Optical Engineering, Vol. 29, Issue 4, (April 1990). https://doi.org/10.1117/12.55606

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.

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Richard H. Roy III and Thomas Kailath "ESPRIT--Estimation of Signal Parameters via Rotational Invariance Techniques," Optical Engineering 29(4), (1 April 1990). https://doi.org/10.1117/12.55606

Published: 1 April 1990

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