Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
The HiBall Tracker: high-performance wide-area tracking for virtual and augmented environments
Proceedings of the ACM symposium on Virtual reality software and technology
An Introduction to the Kalman Filter
An Introduction to the Kalman Filter
Autocalibration Algorithm for Ultrasonic Location Systems
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Tracking moving devices with the cricket location system
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Bayesian Filtering for Location Estimation
IEEE Pervasive Computing
Audio location: accurate low-cost location sensing
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
The impact of sensor errors and building structures on particle filter-based inertial positioning
Pervasive and Mobile Computing
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This paper presents two algorithms, non-linear regression and Kalman filtering, that fuse heterogeneous data (pseudorange and angle-of-arrival) from an ultra-wideband positioning system. The performance of both the algorithms is evaluated using real data from two deployments, for both static and dynamic scenarios. We also consider the effectiveness of the proposed algorithms for systems with reduced infrastructure (lower deployment density), and for lower-complexity sensing platforms which are only capable of providing either pseudorange or angle-of-arrival.