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

Pestana, Jennifer ORCID: https://orcid.org/0000-0003-1527-3178

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:	Date Event 1 March 2019 Published 1 March 2019 Accepted
  Notes:	© 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 Statistics
  Depositing user:	Pure Administrator
  Date deposited:	12 Mar 2019 11:36
  Last modified:	12 Dec 2024 16:28
  Related URLs:	Event
  URI:	https://strathprints.strath.ac.uk/id/eprint/67267