An Introduction to the Kalman Filter
An Introduction to the Kalman Filter
Tracking moving devices with the cricket location system
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Practical robust localization over large-scale 802.11 wireless networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Radio interferometric geolocation
Proceedings of the 3rd international conference on Embedded networked sensor systems
Robomote: enabling mobility in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Design of a wireless sensor network platform for detecting rare, random, and ephemeral events
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Tracking mobile nodes using RF Doppler shifts
Proceedings of the 5th international conference on Embedded networked sensor systems
International Journal of Ad Hoc and Ubiquitous Computing
RAGOBOT: a new platform for wireless mobile sensor networks
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
RF doppler shift-based mobile sensor tracking and navigation
ACM Transactions on Sensor Networks (TOSN)
On the feasibility of determining angular separation in mobile wireless sensor networks
MELT'09 Proceedings of the 2nd international conference on Mobile entity localization and tracking in GPS-less environments
A survey on localization for mobile wireless sensor networks
MELT'09 Proceedings of the 2nd international conference on Mobile entity localization and tracking in GPS-less environments
RF angle of arrival-based node localisation
International Journal of Sensor Networks
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Many wireless sensor network applications require knowledge of node placement in order to make sense of sensor data in a spatial context. Networks of mobile sensors require position updates for navigation through the sensing region. The global positioning system is able to provide localization information, however in many situations it cannot be relied on, and alternative localization methods are required. We propose a technique for the localization and navigation of a mobile robot that uses the Doppler-shift in frequency observed by stationary sensor nodes. Our experimental results show that, by using observed RF Doppler shifts, a robot is able to navigate through a sensing region with an average localization error of 1.68 meters.