Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
MULTIPLE INVARIANCE ESPRIT
KTH, School of Electrical Engineering (EES), Signal Processing. (Signal Processing)ORCID iD: 0000-0003-2298-6774
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]

ESPIRIT is a recently developed technique for high-resolution signal parameter estimation with applications to direction-of-arrival estimation and time series analysis. By exploiting invariances designed into the sensor array, parameter estimates are obtained directly, without knowledge of the array response and without computation or search of some spectral measure. The original formulation of ESPIRIT assumes there is only one invariance in the array associated with each dimension of the parameter space. However, in many applications, arrays that possess multiple invariances (e.g., uniform linear arrays, uniformly sampled time series) are employed, and the question of which invariance to use naturally arises. More importantly, it is desirable to exploit the entire invariance structure simultaneously in estimating the signal parameters. Herein, a subspace-fitting formulation of the ESPIRIT problem is presented that provides a framework for extending the algorithm to exploit arrays with multiple invariances. In particular, a multiple invariance (MI) ESPIRIT algorithm is developed and the asymptotic distribution of the estimates obtained. Simulations are conducted to verify the analysis and to compare the performance of MI ESPIRIT with that of several other approaches. The excellent quality of the MI ESPIRIT 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.
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-60033DOI: 10.1109/78.127959ISI: A1992HL59000013OAI: oai:DiVA.org:kth-60033DiVA: diva2:477138
Note
NR 20140805Available from: 2012-01-12 Created: 2012-01-12 Last updated: 2017-12-08Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Authority records BETA

Ottersten, Björn

Search in DiVA

By author/editor
Ottersten, Björn
By organisation
Signal Processing
In the same journal
IEEE Transactions on Signal Processing
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 45 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf