Abstract
An approach to the general problem of signal parameter estimation is described. The algorithm differs from its predecessor in that a total least-squares rather than a standard least-squares criterion is used. Although discussed in the context of direction-of-arrival estimation, ESPRIT can be applied to a wide variety of problems including accurate detection and estimation of sinusoids in noise. 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 MEM, Capon's MLM, and MUSIC.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Keywords
Rotational invarianceCaponLinear subspaceContext (archaeology)SIGNAL (programming language)AlgorithmNoise (video)Direction of arrivalEstimation theoryLeast-squares function approximationComputer scienceMathematicsArtificial intelligenceStatisticsImage (mathematics)TelecommunicationsPure mathematicsGeography
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Publication Info
- Year
- 1989
- Type
- article
- Volume
- 37
- Issue
- 7
- Pages
- 984-995
- Citations
- 6824
- Access
- Closed
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Cite This
R. Roy,
T. Kailath
(1989).
ESPRIT-estimation of signal parameters via rotational invariance techniques.
IEEE Transactions on Acoustics Speech and Signal Processing
, 37
(7)
, 984-995.
https://doi.org/10.1109/29.32276
Identifiers
- DOI
- 10.1109/29.32276