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Article
Localization Using Extended Kalman Filters in Wireless Sensor Networks
Kalman Filter: Recent Advances and Applications
  • Ali Shareef
  • Yifeng Zhu
Document Type
Book Chapter
Editor
Morend, Victor M.
None
Pigazo, Alberto
Publication Date
4-1-2009
Abstract/ Summary

Introduction: Localization arises repeatedly in many location-aware applications such as navigation, autonomous robotic movement, and asset tracking. Analytical localization methods include triangulation and trilateration. Triangulation uses angles, distances, and trigonometric relationships to locate an object. Trilateration, on the other hand, uses only distance measurements to identify the position of the target.

Version
publisher's version of the published document
Citation Information
Ali Shareef and Yifeng Zhu. "Localization Using Extended Kalman Filters in Wireless Sensor Networks" Kalman Filter: Recent Advances and Applications (2009) p. 297 - 320
Available at: http://works.bepress.com/yifeng_zhu/3/