A study of optimization of Alpha-Beta-Gamma-Eta filter for tracking a high dynamic target

• Autorzy: Jeong T. , Pan B.F. , Njonjo A.W.

Identyfikatory

DOI

10.12716/1001.11.01.04

• Języki publikacji: EN

Abstrakty

EN

The tracking filter plays a key role in accurate estimation and prediction of maneuvering vessel’s position and velocity. Different methods are used for tracking. However, the most commonly used method is the Kalman filter and its modifications. The Alpha-Beta-Gamma filter is one of the special cases of the general solution pro-vided by the Kalman filter. It is a third order filter that computes the smoothed estimates of position, velocity and acceleration for the nth observation, and also predicts the next position and velocity. Although found to track a maneuvering target with a good accuracy than the constant velocity, Alpha-Beta filter, the Alpha-Beta-Gamma filter does not perform impressively under high maneuvers such as when the target is undergoing changing accelerations. This study, therefore, aims to track a highly maneuvering target experiencing jerky motions due to changing accelerations. The Alpha-Beta-Gamma filter is extended to include the fourth state that is, constant jerk to correct the sudden change of acceleration in order to improve the filter’s performance. Results obtained from simulations of the input model of the target dynamics under consideration indicate an improvement in performance of the jerky model, Alpha-Beta-Gamma-Eta, algorithm as compared to the constant acceleration model, Alpha-Beta-Gamma in terms of error reduction and stability of the filter during target maneuver.

Słowa kluczowe

EN

integrated navigation; Alpha-Beta-Gamma filter; Kalman filter; high dynamic target; ships tracking; target dynamics; Jerky Model; ARPA

• Wydawca: Faculty of Navigation, Gdynia Maritime University
• Czasopismo: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
• Rocznik: 2017
• Tom: Vol. 11, no. 1
• Strony: 49--53
• Opis fizyczny: Bibliogr. 6 poz., rys., tab.

Twórcy

autor

Jeong T.

• Korea Maritime University, Busan, Korea

autor

Pan B.F.

• Korea Maritime University, Busan, Korea

autor

Njonjo A.W.

• Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya

Bibliografia

• 1 Brookner, E. (1998). Tracking and Kalman filtering made easy.  New York, Wiley. 
• 2 Chen L., Wu, X.J., Wang, S.T., Yang J.Y. 2008. New Constant  Gain Algorithm for Maneuvering Target Tracking α‐β‐γδ Model. Journal of System Simulation Vol 20 (17). 
• 3 Mehrotra,  K.  &  Mahapatra,  P.R.  1997.  A  Jerk  Model  for  Tracking  Highly  Maneuvering  Targets.  IEEE  Transactions on Aerospace and Electronic Systems 33 (4): Pp.  1094‐1105.  
• 4 Njonjo, A.W., Pan, B.F. & Jeong, T.G. 2016. A Basic Study on  Development of a Tracking Module for ARPA system  for Use on High Dynamic Warships Journal of Navigation  and Port Research Vol.40 (2): pp.83‐87 
• 5 Pan, B.F., Njonjo, A.W. & Jeong, T.G. 2016. Basic Study of  the Optimization of the Gain Parameters α, β and γ of a  Tracking  Module  for  ARPA  system  on  Board  High  Dynamic Warships Journal of Navigation and Port Research  Vol.40 (5): pp.241‐247. 
• 6 Wu, C.M., Chang, C.K., & Chu, T.T. 2011. A new EP‐based  α‐β‐γ‐σ  filter  for  target  tracking. Mathematics  and  Computers in Simulation. 81: 1785‐1794

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)