Publication | Closed Access
Location estimation using received signal power and maximum likelihood estimation in wireless sensor networks
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Citations
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References
2007
Year
Wireless CommunicationsWireless LocalizationRf LocalizationEngineeringMaximum Likelihood EstimationLocation EstimationSensor NetworkWireless Sensor NetworksSignal PowerWireless Propagation CharacteristicsLocation AwarenessPositioning SystemWireless NetworkingIndoor Positioning SystemLocalizationSignal ProcessingIeee 802.15.4Wireless Systems
Abstract This paper considers the sensor network based on IEEE 802.15.4, and proposes a method in which a probabilistic model of wireless propagation characteristics in a real environment is constructed, and the node position is estimated by maximum‐likelihood estimation using the model. The performance of the proposed method is evaluated by simulation and position estimation experiments based on the probabilistic model obtained from the actual indoor measurement. It is shown that the proposed method is useful for indoor personnel location management. © 2007 Wiley Periodicals, Inc. Electron Comm Jpn Pt 1, 90(12): 62–72, 2007; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/ecja.20359
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