Cooperative Localization in Wireless Networks

By Henk Wymeersch, Jaime Lien, Moe Z. Win. Proceedings of the IEEE, 2009

1,164 citations recorded by the source corpus.

Location-aware technologies will revolutionize many aspects of commercial, public service, and military sectors, and are expected to spawn numerous unforeseen applications. A new era of highly accurate ubiquitous location-awareness is on the horizon, enabled by a paradigm of cooperation between nodes. In this paper, we give an overview of cooperative localization approaches and apply them to ultrawide bandwidth (UWB) wireless networks. UWB transmission technology is particularly attractive for short- to medium-range localization, especially in GPS-denied environments: wide transmission bandwidths enable robust communication in dense multipath scenarios, and the ability to resolve subnanosecond delays results in centimeter-level distance resolution. We will describe several cooperative localization algorithms and quantify their performance, based on realistic UWB ranging models developed through an extensive measurement campaign using FCC-compliant UWB radios. We will also present a powerful localization algorithm by mapping a graphical model for statistical inference onto the network topology, which results in a net-factor graph, and by developing a suitable net-message passing schedule. The resulting algorithm (SPAWN) is fully distributed, can cope with a wide variety of scenarios, and requires little communication overhead to achieve accurate and robust localization.

Subfields: Electrical and Electronic Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/9dc28d6a56854f13484a195e0c301a34aa7e5810

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Citations in the corpus

A Theoretical Foundation of Network Localization and Navigation (2018, background): “Joint spatial and temporal cooperation of NLN can yield dramatic localization performance improvement over conventional approaches since additional information is exploited through cooperation with other nodes and other instants [54]–[56].”
FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing (2020, background): “Representative works include [24, 25, 26, 27, 28, 29], to mention a few.”
Recent Advances in Indoor Localization: A Survey on Theoretical Approaches and Applications (2017, methodology): “We can notice for instance the work in [47] and [48] where a novel technique for ToA with two receivers is proposed.”
Fundamental Limits of Wideband Localization— Part I: A General Framework (2010, background): “The global positioning system (GPS) is the most important technology to provide location-awareness around the globe through a constellation of at least 24 satellites [6], [7].”
A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation (2018, background): “Although it has been recently spotlighted in [220] and [23] and experimentally evaluated in [221], network cooperation in the distributed estimation has been already long studied in [222].”
Network localization and navigation via cooperation (2011, methodology): “A common method to implement distributed algorithms for cooperative localization is by means of loopy belief propagation (LBP) [ 2 ].”
Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances (2016, background): “, presented an overview of cooperative localization approaches for UWB wireless networks [109].”
Fundamental Limits of Wideband Localization— Part II: Cooperative Networks (2010, background): “However, little is known regarding the bounds for cooperative localization.”
NLOS identification and mitigation for localization based on UWB experimental data (2010, background): “LOCATION-AWARENESS is fast becoming an essential aspect of wireless sensor networks and will enable a myriad of applications, in both the commercial and the military sectors [1], [2].”
Survey of Cellular Mobile Radio Localization Methods: From 1G to 5G (2018, background): “On the other hand, high-accuracy positioning can be achieved with dedicated deployments of beacons, such as those based on UWB with sub-meter level accuracy [17].”