Error Model of Radio Fingerprint and PDR Fusion Indoor Localization
This work addresses indoor localization accuracy for applications requiring precise positioning, but it is incremental as it builds on existing fusion techniques with a focus on error modeling.
The paper tackled the problem of evaluating multi-source fusion indoor positioning by establishing a fusion error model using least squares to combine radio fingerprint and PDR positioning, and applying variance propagation laws to calculate error distributions, resulting in the development of a simulation system that provides layout schemes and evaluates signal strength and error distributions.
Multi-source fusion positioning is one of the technical frameworks for obtaining sufficient indoor positioning accuracy. In order to evaluate the effect of multi-source fusion positioning, it is necessary to establish a fusion error model. In this paper, we first use the least squares method to fuse the radio fingerprint and the PDR positioning, and then apply the variance propagation laws to calculate the error distribution of indoor multi-source localization methods. Based on the fusion error model, we developed an indoor positioning simulation system. The system can give a better positioning source layout scheme under a given condition, and can evaluate the signal strength distribution and the error distribution.