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

Direct link
Analysis of Algorithms for Sensor Arrays with Invariance Structure
Stanford University, CA, USA.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Stanford University, CA, USA.
1990 (English)Report (Other academic)
Abstract [en]

The problem of estimating signal parameters from sensor array data is addressed. If the array is composed of two identical subarrays, (i.e. one invariance) the ESPRIT algorithm is known to yield parameter estimates in a very cost efficient manner. Recently, the total least squares (TLS) version of ESPRIT has been formulated in a subspace fitting framework. In this formulation, the ESPRIT concept is easily generalized to arrays exhibiting more than one invariance. The asymptotic properties for this class of algorithms are derived. The estimates are shown to be statistically efficient under certain assumptions. The case of a uniform linear array is studied in more detail, and a generalization of the ESPRIT algorithm is proposed by introducing row weighting of the subspace estimate.

Place, publisher, year, edition, pages
Linköping: Linköping University , 1990. , 5 p.
LiTH-ISY-I, ISSN 8765-4321 ; 1053
Keyword [en]
Parameter estimation, Signal processing, Sensor arrays, Invariance structure
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-104030OAI: diva2:694414
Available from: 2014-02-06 Created: 2014-02-06 Last updated: 2014-02-06

Open Access in DiVA

No full text

By organisation
Automatic ControlThe Institute of Technology
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

Total: 6 hits
ReferencesLink to record
Permanent link

Direct link