Emitter localization under multipath propagation using SMC-intensity filters

The passive non-cooperative localization and tracking of mobile terminals in urban scenarios, called blind mobile localization (BML), is a highly demanding task which occurs for instance in safety, emergency and security applications with non-subscribed phone user locations. In this paper it is demonstrated how Sequential Monte Carlo (SMC) implementations of intensity filters (e.g. PHD, iFilter) can be used to solve the tracking and localization task. Novel schemes for extracting state estimates, based on a new generalized grouping of particles-approach, are presented and compared to a mean computation in a single-target scenario. Finally, a ray-tracing simulation is used to demonstrate numerically that an SMC-iFilter using a generalized grouping of particles approach can successfully solve the problem of BML.