The cricket compass for context-aware mobile applications
Proceedings of the 7th annual international conference on Mobile computing and networking
Localization for mobile sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Radiation pattern correlation for mobile robot localization in low power wireless networks
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
Non-line of Sight Error Mitigation in Ultra-wideband Ranging Systems Using Biased Kalman Filtering
Journal of Signal Processing Systems
An anti-collision algorithm for localization of multiple chirp-spread-spectrum nodes
Expert Systems with Applications: An International Journal
Journal of Intelligent and Robotic Systems
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Indoor location tracking of mobile robots or transport vehicles using wireless technology is attractive for many applications. IEEE 802.15.4a wireless networks offer an inexpensive facility for localizing mobile devices by time-based range measurements. The main problems of time-based range measurements in indoor environments are errors by multipath and non-line-of-sight (NLOS) signal propagation. This paper describes indoor tracking using range measurements and an Extended Kalman Filter with NLOS mitigation. The commercially available nanoLOC wireless network is utilized for range measurements. The paper presents experimental results of tracking a forklift truck in an industrial environment.