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ESPRIT-estimation of signal parameters via rotational invariance techniques
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.>
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Research works printed but not linked: 18
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Metadata
- Authors
- Roy, R., & Kailath, T.
- Venue
- IEEE Transactions on Acoustics, Speech, and Signal Processing
- Published
- 1989-07
- Volume
- 37
- Issue
- 7
- Pages
- 984-995
- ISSN
- 0096-3518 (ISSN-L)
- OpenAlex
- W2128131274
- Cited by
- 7,289
- References
- 0
- FWCI
- 52.93
- Type
- journal article
- Language
- en
- Open access
- closed
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