Change search
ReferencesLink to record
Permanent link

Direct link
Instrumental Variable Approach to Array Processing in Spatially Correlated Noise Fields
Department of Control and Computers, Bucharest Polytechnic Institute, Bucharest, Romania.
Department of Electrical Engineering, Linkoping University, Linkoping, Sweden..
KTH, Superseded Departments, Signals, Sensors and Systems.ORCID iD: 0000-0003-2298-6774
1994 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 42, no 1, 121-133 p.Article in journal (Refereed) Published
Abstract [en]

High-performance signal parameter estimation from sensor array data is a problem which has received much attention. A number of so-called eigenvector (EV) techniques such as MUSIC, ESPRIT, WSF, and MODE have been proposedin the literature. The EV techniques for array processing require knowledge of the spatial noise correlation matrix that constitutes a significant drawback. A novel instrumental variable (IV) approach to the sensor array problem is proposed. The IV technique relies on the same basic geometric properties as the EV methods to obtain parameter estimates. However, by exploiting the temporal correlation of the source signals, no knowledge of the spatial noisecovariance is required. The asymptotic properties of the IV estimator are examined and an optimal IV method is derived. Computer simulations are presented to study the properties of the IV estimators in samples of practical length. The proposed algorithm is also shown to perform better than MUSIC on a full-scale passive sonar experiment

Place, publisher, year, edition, pages
1994. Vol. 42, no 1, 121-133 p.
Keyword [en]
instrumental variable, array signal processing, correlation theory, eigenvalues and eigenfunctions, noise, parameter estimation, sonar
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-53290DOI: 10.1109/78.258127ISI: A1994MU07400012OAI: diva2:469742
QC 20120103Available from: 2011-12-26 Created: 2011-12-26 Last updated: 2012-01-03Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

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

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: 14 hits
ReferencesLink to record
Permanent link

Direct link