Support estimation of a sample space-time covariance matrix

Connor Delaosa, Jennifer Pestana, Nicholas J. Goddard, Samuel D. Somasundaram, Stephan Weiss

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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.
Original languageEnglish
Number of pages5
Publication statusAccepted/In press - 1 Mar 2019
EventSensor Signal Processing for Defence 2019 - Brighton, United Kingdom
Duration: 9 May 201910 May 2019

Conference

ConferenceSensor Signal Processing for Defence 2019
Abbreviated titleSSPD'19
CountryUnited Kingdom
CityBrighton
Period9/05/1910/05/19

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Keywords

  • space-time covariance matrix
  • parahermitian matrix
  • cross-correlation
  • estimation

Cite this

Delaosa, C., Pestana, J., Goddard, N. J., Somasundaram, S. D., & Weiss, S. (Accepted/In press). Support estimation of a sample space-time covariance matrix. Paper presented at Sensor Signal Processing for Defence 2019, Brighton, United Kingdom.