Distributed High Accuracy Peer-to-Peer Localization in Mobile Multipath Environments

In this paper we consider the problem of high accuracy localization of mobile nodes in a multipath-rich environment where sub-meter accuracies are required. We employ a peer to peer framework where the vehicles/nodes can get pairwise multipath-degraded ranging estimates in local neighborhoods together with a fixed number of anchor nodes. The challenge is to overcome the multipath-barrier with redundancy in order to provide the desired accuracies especially under severe multipath conditions when the fraction of received signals corrupted by multipath is dominating. We invoke a message passing analytical framework based on particle filtering and reveal its high accuracy localization promise through simulations. Key words- Localization, Multipath, Graphical Models, Particle Filtering, Hidden Markov Model.

• Type: Journal
• Year: 2010
• Where: GLOBECOM
• Authors: Venkatesan N. Ekambaram, Kannan Ramchandran
• Keywords: Communications, GLOBECOM 2010, Multipath-degraded Ranging Estimates, Severe Multipath Conditions, Sub-meter Accuracies