On the Statistical Model of Source Localization based on Range Difference Measurements
This work addresses source localization for applications like sensor networks, but it appears incremental as it extends previous noiseless analysis to a statistical model.
The authors tackled the problem of source localization using range difference measurements by analyzing the statistical model for a planar scenario with three non-aligned receivers, building on prior noiseless work and employing algebraic statistics and information geometry techniques.
In this work we study the statistical model of source localization based on Range Difference measurements. We investigate the case of planar localization of a source using a minimal configuration of three non aligned receivers. Our analysis is based on a previous work of the same authors concerning the localization in a noiseless scenario. As the set of feasible measurements is a semialgebraic variety, this investigation makes use of techniques from Algebraic Statistics and Information Geometry.