Robustness Analysis of Source Localization Using Gaussianity Measure

Kun Yan, Hsiao-Chun Wu, S. S. Iyengar
2008 IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference  
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
more » ... 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. This full text paper was peer reviewed at the direction of IEEE Communications Society subject matter experts for publication in the IEEE "GLOBECOM" 2008 proceedings. 978-1-4244-2324-8/08/$25.00
doi:10.1109/glocom.2008.ecp.622 dblp:conf/globecom/YanWI08 fatcat:jx7hv3j3kjcb3ex2efwtajfroa