2017
Enhanced indoor localization through crowd sensing
ICASSP 2017accepted
In localization tasks, one typically assumes a statistical model of the observations, where the model quantifies the observations by exploiting interrelationships based on geometry. These models might incorporate unknown parameters that, in general, are functions of space. In this article, we propos…