Least Square Solutions of Energy Based Acoustic Source Localization Problems

Authors:
Dan Li;Yu Hen Hu
Affiliations:
University of Wisconsin - Madison;University of Wisconsin - Madison
Venue:
ICPPW '04 Proceedings of the 2004 International Conference on Parallel Processing Workshops
Year:
2004

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Abstract

In this study we compare the performance of five least-square based methods for the localization of a target using intensity measurements of randomly placed acoustic sensors. Specifically, we propose a novel quadratic-term elimination (QE) method that gives a closed form least square solution and empirically yields the highest localization accuracy. Applications of this method to the localization and tracking of moving vehicles in a wireless sensor field experiment showed promising results.