@inproceedings{039e126dea574caaa25b56ce0206c6bf,
title = "The impact of unknown extra parameters on scatter matrix estimation and detection performance in complex t-distributed data",
abstract = "Scatter matrix estimation and hypothesis testing in Complex Elliptically Symmetric (CES) distributions often relies on the knowledge of additional parameters characterizing the distribution at hand. In this paper, we investigate the performance of optimal estimation and detection algorithms exploiting low-complexity but suboptimal estimates of the extra parameters under the assumption of t-distributed data. Their performance is also compared with that of robust algorithms, which do not rely on such estimates.",
keywords = "Linear Threshold Detector, Maximum Likelihood, Method of Moments, Normalized Matched Filter",
author = "Stefano Fortunati and Greco, \{Maria S.\} and Fulvio Gini",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 19th IEEE Statistical Signal Processing Workshop, SSP 2016 ; Conference date: 25-06-2016 Through 29-06-2016",
year = "2016",
month = aug,
day = "24",
doi = "10.1109/SSP.2016.7551738",
language = "English",
series = "IEEE Workshop on Statistical Signal Processing Proceedings",
publisher = "IEEE Computer Society",
booktitle = "2016 19th IEEE Statistical Signal Processing Workshop, SSP 2016",
}