Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
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TY - GEN
T1 - Continuous-Discrete Filtering using EKF, UKF, and PF
AU - Mallick, Mahendra
AU - Morelande, Mark
AU - Mihaylova, Lyudmila
PY - 2012/7/1
Y1 - 2012/7/1
N2 - Continuous-discrete filtering (CDF) arises in many real-world problems such as ballistic projectile tracking, ballistic missile tracking, bearing-only tracking in 2D, angle-only tracking in 3D, and satellite orbit determination. We develop CDF algorithms using the extended Kalman filter (EKF), unscented Kalman filter (UKF), and particle filter (PF) with applications to the angle-only tracking in 3D. The modified spherical coordinates are used to represent the target state. Monte Carlo simulations are performed to compare the performance and computational complexity of the proposed filtering algorithms. Our results show that the CDF algorithms based on the EKF and UKF have the best state estimation accuracy and nearly the same computational cost.
AB - Continuous-discrete filtering (CDF) arises in many real-world problems such as ballistic projectile tracking, ballistic missile tracking, bearing-only tracking in 2D, angle-only tracking in 3D, and satellite orbit determination. We develop CDF algorithms using the extended Kalman filter (EKF), unscented Kalman filter (UKF), and particle filter (PF) with applications to the angle-only tracking in 3D. The modified spherical coordinates are used to represent the target state. Monte Carlo simulations are performed to compare the performance and computational complexity of the proposed filtering algorithms. Our results show that the CDF algorithms based on the EKF and UKF have the best state estimation accuracy and nearly the same computational cost.
KW - continuous-discrete filtering
KW - unscented Kalman filter
KW - particle filter
KW - Angle-only filtering in 3D
KW - Continuous-discrete Extended Kalman filter
KW - Continuous-discrete Particle filter
KW - Continuous-discrete Unscented Kalman filter
KW - Continuous-discrete filtering (CDF)
KW - Modified spherical coordinates (MSC)
M3 - Conference contribution/Paper
SN - 978-1-4673-0417-7
SP - 1087
EP - 1094
BT - Information Fusion (FUSION), 2012 15th International Conference on
PB - IEEE
T2 - The 15th International Conference on Information Fusion
Y2 - 9 July 2012 through 12 July 2012
ER -