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Multiple Invariance ESPRIT
Brigham Young University, USA.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Stanford University, USA.
Stanford University, USA.
1992 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 40, no 4, 867-881 p.Article in journal (Refereed) Published
Abstract [en]

A subspace-fitting formulation of the ESPRIT problem is presented that provides a framework for extending the algorithm to exploit arrays with multiple invariances. In particular, a multiple invariance (MI) ESPRIT algorithm is developed and the asymptotic distribution of the estimates is obtained. Simulations are conducted to verify the analysis and to compare the performance of MI ESPRIT with that of several other approaches. The excellent quality of the MI ESPRIT estimates is explained by recent results which state that, under certain conditions, subspace-fitting methods of this type are asymptotically efficient.

Place, publisher, year, edition, pages
1992. Vol. 40, no 4, 867-881 p.
Keyword [en]
Signal processing, ESPRIT algorithm, Performance
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-95636DOI: 10.1109/78.127959OAI: oai:DiVA.org:liu-95636DiVA: diva2:637085
Available from: 2013-07-16 Created: 2013-07-16 Last updated: 2017-12-06

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