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2008
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Robustness Analysis of Source Localization Using Gaussianity Measure

9 years 4 months ago
Robustness Analysis of Source Localization Using Gaussianity Measure
Nowadays, the source localization has been widely applied for wireless sensor networks. The Gaussian mixture model has been adopted for maximum-likelihood (ML) source localization schemes. However, this model does not match the statistics of the real data in practice. In this paper, we study the probability density function of the sensor signals and demonstrate that the distribution is not Gaussian. We propose to employ the Gaussianity test based on the bootstrap algorithm to quantify the departure of Gaussianity for the received signals added with different kinds of noise. Our proposed Gaussianity test can be used as the robustness figure for evaluating the prevalent ML source localization schemes. Keywords-robustness analysis, source localization, Gaussianity.
Kun Yan, Hsiao-Chun Wu, S. S. Iyengar
Added 29 May 2010
Updated 29 May 2010
Type Conference
Year 2008
Where GLOBECOM
Authors Kun Yan, Hsiao-Chun Wu, S. S. Iyengar
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