Robustness analysis of source localization using gaussianity measure
Document Type
Conference Proceeding
Publication Date
12-1-2008
Abstract
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. © 2008 IEEE.
Publication Source (Journal or Book title)
GLOBECOM - IEEE Global Telecommunications Conference
First Page
3242
Last Page
3246
Recommended Citation
Yan, K., Wu, H., & Iyengar, S. (2008). Robustness analysis of source localization using gaussianity measure. GLOBECOM - IEEE Global Telecommunications Conference, 3242-3246. https://doi.org/10.1109/GLOCOM.2008.ECP.622