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Sensitivity analysis of likelihood ratio test in K distributed and/or Gaussian noise

Besson, Olivier and Abramovich, Yuri Sensitivity analysis of likelihood ratio test in K distributed and/or Gaussian noise. (2015) IEEE Signal Processing Letters, 22 (12). 2329-2333. ISSN 1070-9908

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Official URL: http://dx.doi.org/10.1109/LSP.2015.2480426

Abstract

In a recent letter we addressed the problem of detecting a fluctuating target in $K$ distributed noise using multiple coherent processing intervals. It was shown through simulations that the performance of the likelihood ratio test is dominated by the snapshot which corresponds to the minimal value of the texture. However, for this particular snapshot the clutter to thermal noise ratio is not large and hence thermal noise cannot be neglected. In the present paper, we continue our investigation with a view to consider detection in a mixture of $K$ distributed and Gaussian noise. Towards this end we study the sensitivity of our previously derived detectors. First, we provide stochastic representations that allow to evaluate their performance in $K$ distributed noise only or Gaussian noise only. Then, their robustness to a mixture is assessed.

Item Type:Article
Additional Information:Thanks to Elsevier editor. The definitive version is available at https://www.ieee.org/index.html
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Other partners > WR Systems (USA)
Laboratory name:
Département d'Electronique, Optronique et Signal - DEOS (Toulouse, France) - Signal, Communication, Antenne et Navigation - SCAN
Funders:
DGA/MRIS
Statistics:download
Deposited By: Olivier Besson
Deposited On:30 Sep 2015 11:26

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