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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.
|Number of pages||5|
|Publication status||Accepted/In press - 1 Mar 2019|
|Event||Sensor Signal Processing for Defence 2019 - Brighton, United Kingdom|
Duration: 9 May 2019 → 10 May 2019
|Conference||Sensor Signal Processing for Defence 2019|
|Period||9/05/19 → 10/05/19|
- space-time covariance matrix
- parahermitian matrix
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.