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On the distributions of some statistics related to adaptive filters trained with t-distributed samples

Besson, Olivier On the distributions of some statistics related to adaptive filters trained with t-distributed samples. (2021) Signal Processing, 186. 108114. ISSN 0165-1684

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Official URL: https://doi.org/10.1016/j.sigpro.2021.108114

Abstract

In this paper we analyse the behaviour of adaptive filters or detectors when they are trained with $t$-distributed samples rather than Gaussian distributed samples. More precisely we investigate the impact on the distribution of some relevant statistics including the signal to noise ratio loss and the Gaussian generalized likelihood ratio test. Some properties of partitioned complex $F$ distributed matrices are derived which enable to obtain statistical representations in terms of independent chi-square distributed random variables. These representations are compared with their Gaussian counterparts and numerical simulations illustrate and quantify the induced degradation.

Item Type:Article
HAL Id:hal-03208756
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
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Deposited On:26 Apr 2021 16:28

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