Support estimation of a sample space-time covariance matrix
Delaosa, Connor and Pestana, Jennifer and Goddard, Nicholas J. and Somasundaram, Samuel D. and Weiss, Stephan (2019) Support estimation of a sample space-time covariance matrix. In: Sensor Signal Processing for Defence 2019, 2019-05-09 - 2019-05-10. (In Press)
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Abstract
The ensemble-optimum support for a sample space-time covariance matrix can be determined from the ground truth space-time covariance, and the variance of the estimator. In this paper we provide approximations that permit the estimation of the sample-optimum support from the estimate itself, given a suitable detection threshold. In simulations, we provide some insight into the (in)sensitivity and dependencies of this threshold.
ORCID iDs
Delaosa, Connor, Pestana, Jennifer ORCID: https://orcid.org/0000-0003-1527-3178, Goddard, Nicholas J., Somasundaram, Samuel D. and Weiss, Stephan ORCID: https://orcid.org/0000-0002-3486-7206;-
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Item type: Conference or Workshop Item(Paper) ID code: 67267 Dates: DateEvent1 March 2019Published1 March 2019AcceptedNotes: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Faculty of Science > Mathematics and StatisticsDepositing user: Pure Administrator Date deposited: 12 Mar 2019 11:36 Last modified: 02 Oct 2024 00:46 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/67267
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