Title

A non-Gaussian problem that arises in fused detection in clutter

Document Type

Article

Date of Original Version

2-1-2004

Abstract

A common model for sonar clutter is that of the transmitted signal convolved with a colored Gaussian process relating to the sea-bottom profile. Rather surprisingly, this noise becomes strongly non-Gaussian if there are multiple realizations and if a realistic random phase is introduced - the univariate statistics remain Gaussian, but the joint probability density function is not. In this letter, we explore this behavior and we develop optimal detection statistics for a "two-look" situation. It turns out that the gains over a naïve assumption of Gaussianity can be substantial.

Publication Title

IEEE Signal Processing Letters

Volume

11

Issue

2 PART II

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