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Adaptive detection of a Gaussian signal in Gaussian noise

Besson, Olivier and Chaumette, Eric and Vincent, François Adaptive detection of a Gaussian signal in Gaussian noise. (2016) In: CAMSAP 2015, 13 December 2015 - 16 December 2015 (Cancun, Mexico).

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Official URL: http://dx.doi.org/10.1109/CAMSAP.2015.7383750

Abstract

Adaptive detection of a Swerling I-II type target in Gaussian noise with unknown covariance matrix is addressed in this paper. The most celebrated approach to this problem is Kelly’s generalized likelihood ratio test (GLRT), derived under the hypothesis of deterministic target amplitudes. While this conditional model is ubiquitous, we investigate here the equivalent GLR approach for an unconditional model where the target amplitudes are treated as Gaussian random variables at the design of the detector. The GLRT is derived which is shown to be the product of Kelly’s GLRT and a corrective, data dependent, term. Numerical simulations are provided to compare the two approaches.

Item Type:Conference or Workshop Item (Poster)
Additional Information:Thanks to the IEEE (Institute of Electrical and Electronics Engineers). This paper is available at : http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7377772 “© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
HAL Id:hal-01413003
Audience (conference):International conference proceedings
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Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
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Deposited By: Francois VINCENT
Deposited On:09 Dec 2016 10:15

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