2d and 3d angles-only target tracking based on maximum correntropy kalman filters

HIGHLIGHTS

  • who: Asfia Urooj and colleagues from the Department of Electrical Engineering, Sardar Vallabhbhai National Institute of Technology, School of Engineering, RMIT University, Melbourne, VIC, Australia have published the research: 2D and 3D Angles-Only Target Tracking Based on Maximum Correntropy Kalman Filters, in the Journal: Sensors 2022, 22, 5625. of 27/07/2022
  • what: In this paper (AoT) problem is investigated in the non Gaussian environment.
  • how: The parameters required for generating the targetobserver dynamics and simulation results are discussed. Similar observations can be made with respect to Gaussian kernel based MC-UKF . . .

     

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