Answers are grounded in this paper and cite their sources.
In this paper, we derive the theoretical error Probability Density Function (PDF) and Region of Confidence (RoC) conditioned on the on-line signal parameter vector, for a generalized fingerprint-based localization system. As the computations of these terms require the exact expression of the joint PDF for both the device location and the on-line signal parameter vector, which is often not available practically, we propose to approximate this joint PDF by Nonparametric Kernel Density Estimation techniques using the training fingerprints.
No takes yet. Share an insight, caveat, or question.
Jin et al. (2010) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: