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Detection and Estimation in Sensor Arrays using Weighted Subspace Fitting
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.
Stanford University, USA.
1991 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 39, no 11, 2436-2449 p.Article in journal (Refereed) Published
Abstract [en]

The problem of signal parameter estimation of narrowband emitter signals impinging on an array of sensors is addressed. A multidimensional estimation procedure that applies to arbitrary array structures and signal correlation is proposed. The method is based on the recently introduced weighted subspace fitting (WSF) criterion and includes schemes for both detecting the number of sources and estimating the signal parameters. A Gauss-Newton-type method is presented for solving the multidimensional WSF and maximum-likelihood optimization problems. The global and local properties of the search procedure are investigated through computer simulations. Most methods require knowledge of the number of coherent/noncoherent signals present. A scheme for consistently estimating this is proposed based on an asymptotic analysis of the WSF cost function. The performance of the detection scheme is also investigated through simulations.

Place, publisher, year, edition, pages
1991. Vol. 39, no 11, 2436-2449 p.
Keyword [en]
Correlation methods, Parameter estimation, Signal detection, Signal processing
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-95629DOI: 10.1109/78.97999OAI: oai:DiVA.org:liu-95629DiVA: diva2:637007
Available from: 2013-07-15 Created: 2013-07-15 Last updated: 2017-12-06

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