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

TL;DR

This paper proposes a peer-to-peer localization method for mobile nodes in multipath-rich environments, achieving sub-meter accuracy by using message passing and particle filtering to overcome severe multipath effects.

Contribution

It introduces a novel distributed localization approach that leverages redundancy and message passing to attain high accuracy in challenging multipath conditions.

Findings

Achieves sub-meter localization accuracy in multipath environments

Demonstrates robustness of the method through simulations

Overcomes multipath barriers with redundancy and message passing

Abstract

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.