Cooperative localization in wireless networks
Name
Wymeersch-2009-Cooperative localization in wireless networks.pdf
Size
1.91 MB
Format
Adobe PDF
Checksum (MD5)
237f2974bec681276eea96a4ab882431
Author(s)
Wymeersch, Henk
Lien, Jaime
Win, Moe Z.
Date Issued
March 2009
Journal
Proceedings of the IEEE
Publisher
Institute of Electrical and Electronics Engineers
Citation
Wymeersch, H., J. Lien, and M.Z. Win. “Cooperative Localization in Wireless Networks.” Proceedings of the IEEE 97.2 (2009): 427-450. ©2011 IEEE.
Version
Final published version
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Massachusetts Institute of Technology. Laboratory for Information and Decision Systems
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/JPROC.2008.2008853
