Wireless localization has become a key technology for cooperative agent networks. However, for many applications, it is still illusive to reach the desired level of accuracy and robustness, especially in indoor environments which are characterized by harsh multipath propa- gation. In this work we introduce a cooperative low-complexity algorithm that utilizes multipath components for localization instead of suffering from them. The algorithm uses two types of measurements: (i) bistatic measurements between agents and (ii) monostatic (bat-like) measure- ments 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.
['Josef Kulmer', 'Erik Leitinger', 'Paul Meissner', 'Klaus Witrisal']
Cooperative Multipath-Assisted Navigation and Tracking: A Low-Complexity Approach