3D Active Doppler Tracking in Air using Kalman Filter

Y. Sun, T. Collins, and L. Xiao (UK)


Doppler tracking, Kalman filter, Human Computer Interaction


This paper introduces the 3D Doppler tracking algorithm for in air application. The tracking in air is import for the roomware application: next generation of Human Computer Interaction. It also introduces an alternative Castella model of the Kalman filter to estimate the velocity state, which is further enhanced in terms of the accuracy estimate. The 3D simulation result and experimental output shows that this algorithm is reliable and robust for tracking the target in air.

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