A Unifying Framework for Adaptive Radar Detection in Homogeneous plus Structured Interference-Part I: On the Maximal Invariant Statistic
July 19, 2015 Β· Declared Dead Β· π IEEE Transactions on Signal Processing
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Authors
Domenico Ciuonzo, Antonio De Maio, Danilo Orlando
arXiv ID
1507.05263
Category
cs.IT: Information Theory
Cross-listed
stat.ME
Citations
100
Venue
IEEE Transactions on Signal Processing
Last Checked
4 months ago
Abstract
This paper deals with the problem of adaptive multidimensional/multichannel signal detection in homogeneous Gaussian disturbance with unknown covariance matrix and structured deterministic interference. The aforementioned problem corresponds to a generalization of the well-known Generalized Multivariate Analysis of Variance (GMANOVA). In this first part of the work, we formulate the considered problem in canonical form and, after identifying a desirable group of transformations for the considered hypothesis testing, we derive a Maximal Invariant Statistic (MIS) for the problem at hand. Furthermore, we provide the MIS distribution in the form of a stochastic representation. Finally, strong connections to the MIS obtained in the open literature in simpler scenarios are underlined.
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