Document Type

Book Chapter

Title

Localization Using Extended Kalman Filters in Wireless Sensor Networks

Authors

Ali Shareef
Yifeng Zhu

Editor

Morend, Victor M.

Pigazo, Alberto

Publication Title

Kalman Filter: Recent Advances and Applications

Publication Date

4-2009

First Page

297

Last Page

320

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.

Repository Citation

Shareef, Ali and Zhu, Yifeng, "Localization Using Extended Kalman Filters in Wireless Sensor Networks" (2009). Graduate Student Scholarly and Creative Submissions. 5.
https://digitalcommons.library.umaine.edu/gradstudent_pub/5

Version

publisher's version of the published document