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An Instrumental Variable Approach to Array Processing in Spatially Correlated Noise Fields
Polytechnic Institute of Bucharest, Romania.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
1992 (English)Report (Other academic)
Abstract [en]

Signal parameter estimation from sensor array data is of great interest in a variety of applications, including radar, sonar, and radio communication. A large number of high-resolution (i.e., model-based) techniques have been suggested in the literature. The vast majority of these require knowledge of the spatial noise correlation matrix, which constitutes a significant drawback. A novel instrumental variable (IV) approach to the sensor array problem is proposed. By exploiting temporal correlatedness of the source signals, knowledge of the spatial noise covariance is not required. The asymptotic properties of the IV estimator are examined, and an optimal IV method is derived. Simulations are presented examining the properties of the IV estimators in data segments of realistic lengths.

Place, publisher, year, edition, pages
Linköping: Linköping University , 1992.
Series
LiTH-ISY-I, ISSN 8765-4321 ; 1310
Keyword [en]
Array signal processing, Noise, Parameter estimation, Simulation
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-55495OAI: oai:DiVA.org:liu-55495DiVA: diva2:316108
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2013-07-29

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