Cooperative Multipath-Assisted Navigation and Tracking: A Low-Complexity Approach

Cooperative agent networks are a common technology for localization nowadays, nevertheless it is still illusive to reach a certain level of accuracy and robustness for wireless applications, especially in indoor environments which are characterized by harsh multipath condition. In this work we introduce a cooperative low complexity algorithm that utilizes multipath components for localization that are seen as impairment in other respects. The algorithm uses two types of measurements: (i) bistatic measurements between agents and (ii) monostatic (bat-like) measurements by the individual agents. Simulations that use data generated from a realistic channel model, show the applicability of the methodology and the high level of accuracy that can be reached.