Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Localization in underwater sensor networks: survey and challenges
WUWNet '06 Proceedings of the 1st ACM international workshop on Underwater networks
AUV-Aided Localization for Underwater Sensor Networks
WASA '07 Proceedings of the International Conference on Wireless Algorithms,Systems and Applications
Multi Stage Underwater Sensor Localization Using Mobile Beacons
SENSORCOMM '08 Proceedings of the 2008 Second International Conference on Sensor Technologies and Applications
Localization for large-scale underwater sensor networks
NETWORKING'07 Proceedings of the 6th international IFIP-TC6 conference on Ad Hoc and sensor networks, wireless networks, next generation internet
The Effects of Partial Observability When Building Fully Correlated Maps
IEEE Transactions on Robotics
Localization and synchronization for 3D underwater acoustic sensor networks
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
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Sensor localization is a central problem for sensor networks. If the sensor positions are uncertain, the target tracking ability of the sensor network is reduced. Sensor localization in underwater environments is traditionally addressed using acoustic range measurements involving known anchor or surface nodes. We explore the usage of triaxial magnetometers and a friendly vessel with known magnetic dipole to silently localize the sensors. The ferromagnetic field created by the dipole is measured by the magnetometers and is used to localize the sensors. The trajectory of the vessel and the sensor positions are estimated simultaneously using an Extended Kalman Filter (EKF). Simulations show that the sensors can be accurately positioned using magnetometers.