University of Cambridge > > Wireless Communications Team Seminars > Cooperative Localization with Turbo-Networks

Cooperative Localization with Turbo-Networks

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Ioannis Chatzigeorgiou.

The ability to locate devices and people will be an important feature in future wireless networks. Current approaches to achieve location-awareness are limited in several ways: systems such as GPS tend to fail in indoor environments, under tree canopies, and in urban canyons, due to the inability of GPS signals to penetrate obstacles; WiFi or GSM localization systems provide only very coarse location information, making them unsuitable for many applications; ultra-wide bandwidth (UWB) systems can provide centimeter-level localization accuracy, but require a significant infrastructure investment. To address these challenges, we propose to leverage the expected ability of wireless devices to communicate directly, rather than solely through access points or base stations. This allows devices to help one another in determining locations. Such cooperative localization can improve availability and accuracy dramatically.

In this talk, I will present our recent progress on cooperative localization. We will cover fundamental performance bounds, practical algorithms as well as experimentation with UWB technology. Particular emphasis will be placed on algorithm development, applying techniques from iterative decoding and graphical models, and extending them to a network setting. Performance results for large-scale scenarios will be presented, based on extensive experimental data from a recent measurement campaign. Our results indicate that cooperation can offer orders of magnitude performance improvement, as compared to conventional approaches.

This talk is part of the Wireless Communications Team Seminars series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2023, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity