liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
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
URN: urn:nbn:se:liu:diva-95636DOI: 10.1109/78.127959OAI: diva2:637085
Available from: 2013-07-16 Created: 2013-07-16 Last updated: 2013-07-16

Open Access in DiVA

No full text

Other links

Publisher's full text
By organisation
Automatic ControlThe Institute of Technology
In the same journal
IEEE Transactions on Signal Processing
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 27 hits
ReferencesLink to record
Permanent link

Direct link