Activity Number:
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358
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Type:
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Contributed
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Date/Time:
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Wednesday, August 14, 2002 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Physical & Engineering Sciences*
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Abstract - #301778 |
Title:
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Estimating Signal Parameters
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Author(s):
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Nandini Kannan*+
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Affiliation(s):
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University of Texas, San Antonio
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Address:
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6900 N Loop 1604 West, San Antonio, Texas, 78249-0632, USA
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Keywords:
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sensor array ; number of signals ; correlation
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Abstract:
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Estimation of signal parameters from sensor array outputs is a problem that has received considerable attention in the past years. Array models occur in radar/sonar, communications theory, and geophysics. Several algorithms are available to estimate the number of signals impinging on the array, and the directions of arrival of these signals. In this talk, we present some subspace fitting methods that are computationally tractable and provide efficient estimates even in the presence of strong correlations among the sources. Results of a simulation study will be presented comparing these methods with existing algorithms in the literature. Methods for wide-band signals will also be suggested.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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