Journal of Applied Mathematics / 2019 / Article / Fig 1

Research Article

Alternating Projections Filtering Algorithm to Track Moving Objects

Figure 1

Tracking of moving objects: simulated positions in blue, noisy measurements of positions in black, Kalman filter (KF) recovering of positions in red, and Alternating Projections Filter (APF) recovering of positions in green. Running CPU times of both algorithms depend on the size and the size of time step . As increases and/or decreases, time of both APF and KF increases; however APF is much faster than KF. Indeed, APF is over 25 times faster than KF with size of the unknown state vector and time step s over 100 s.

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