EURASIP Journal on Advances in Signal Processing · 2010 · 62 citations · 29 references
EngineeringMarine EngineeringOcean EngineeringAcousticsSensorsUnderwater AcousticsAcoustic LocalizationLocalization UncertaintyMagnetic SensorsUnderwater LocalizationUnderwater NavigationExtended Kalman FilterExtended Kalman Filter LocalizationLocalization AlgorithmsMagnetometersPositioning UnderwaterSensor LocalizationSensor Network LocalizationSensor Node Localization
Sensor localization is essential for sensor networks, and uncertainty degrades target tracking; underwater localization typically relies on acoustic range measurements with known anchors. The study investigates using triaxial magnetometers and a vessel with a known magnetic dipole to silently localize underwater sensors. The method measures the dipole’s ferromagnetic field with magnetometers and jointly estimates vessel trajectory and sensor positions via an Extended Kalman Filter. Simulations demonstrate accurate sensor positioning using magnetometers.
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.
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Fundamentals of Statistical Signal Processing: Estimation Theory
Sailes K. Sengijpta · Technometrics · 1995 · 11.3K citations