Tracking a Moving Target in 2D Using a Particle Filter Based on Innovative Adaptive Estimation

Author:

Pinheiro Cirano Melo,Serrepe Ranno Miriam M.,das Chagas de Souza Francisco

Publisher

Springer International Publishing

Reference22 articles.

1. Patel, H.A., Thakore, D.G.: Moving object tracking using Kalman filter. IJCSMC 2(4), 326–332 (2013)

2. Gustafsson, F., et al.: Particle filters for positioning, navigation, and tracking. IEEE Trans. Sig. Process. 50(2), 425–437 (2002)

3. Kim, P.S.: An alternative state estimation filtering algorithm for temporarily uncertain continuous time system. J. Inf. Process. Syst. 16(3), 588–598 (2020)

4. Kalman, R.E.: A new approach to linear filtering and prediction problems. J. Basic Eng. 82(1), 35–45 (1960)

5. Gordon, N,J., Salmond, D.J., Smith, A.F.M.: Novel approach to nonlinear/non-Gaussian Bayesian state estimation (1993)

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