  Recently, proposals of human-sensing-based services for cellular and local
area networks have brought indoor localization to the attention of several
research groups. In response to these stimuli, various Device-Free Localization
(DFL) techniques, also known as Passive Localization methods, have emerged by
exploiting ambient signals to locate and track individuals that do not carry
any electronic device. This study delves into human passive indoor localization
through full-wave electromagnetic simulations. For the scope, we exploit
simulations from the commercial tool FEKO software that employs the Method of
Moments (MoM). In particular, we collect and analyze the electric field values
in a scenario constituted by a dense 2D/3D deployment of receivers in the
presence of an anthropomorphic mobile target. The paper describes in detail the
collected dataset and provides a first analysis based on a statistical
approach. Possible use cases are also investigated through examples in the
context of passive localization, sensing, and imaging.
