UWB sensor radar networks for indoor passive navigation

Localization and navigation of passive objects enables new important applications in wireless environments. Monostatic sensor radar networks generate interesting solutions for passive localization and navigation in a variety of scenarios. In particular, ultrawide band (UWB) sensing provides fine delay resolution enabling high localization accuracy even in harsh propagation environments such as indoor. We develop a framework for design and analysis of passive navigation based on UWB monostatic sensor radar networks that relies on propagation environment and time-of-arrival estimation characterized by network experiments. As a case study, an UWB monostatic sensor radar network deployed in an indoor environment is considered, and the position of moving objects is inferred. In particular, Bayesian navigation based on particle filters implementation is employed and the role of mobility model for inferring target position is shown.