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Proceedings Paper

About suboptimal binary detection in α-stable context
Author(s): Steeve Zozor; Jean-Marc Brossier; Pierre-Olivier Amblard; Cedric Duchene; Adrian Voicila
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Paper Abstract

In this paper, we revisit the problem of detecting a known signal corrupted by an independent identically distributed α-stable noise. The implementation of the optimal receiver, i.e. the log-likelihood ratio, requires the explicit expression of the probability density function of the noise. In the general α-stable case, there exists no closed-form for the probability density function of the noise. To avoid the numerical evaluation of the probability density function of the noise, we propose to study a parametric suboptimal detector based on properties of α-stable noise and on implementation considerations. We focus our attention on several optimization criteria of the parameters, showing that our choice allows the optimization without using the explicit expression of the noise probability density function. The chosen detector allows to retrieve the optimal Gaussian detector (matched filter) as well as the locally optimal detector in the Cauchy context. The performance of the detector is studied and compared to usual detectors and to the optimal detector. The robustness of the detector against the signal amplitude and the stability index of the noise is discussed.

Paper Details

Date Published: 23 May 2005
PDF: 10 pages
Proc. SPIE 5847, Noise in Communication Systems, (23 May 2005); doi: 10.1117/12.609395
Show Author Affiliations
Steeve Zozor, Lab. des Images et des Signaux/CNRS (France)
Jean-Marc Brossier, Lab. des Images et des Signaux/CNRS (France)
Pierre-Olivier Amblard, Lab. des Images et des Signaux/CNRS (France)
Cedric Duchene, Lab. des Images et des Signaux/CNRS (France)
Adrian Voicila, ST Microelectronics (France)


Published in SPIE Proceedings Vol. 5847:
Noise in Communication Systems
Costas N. Georghiades; Langford B. White, Editor(s)

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