Research on Uncertainty of Target Position Estimation in Combat Simulation

Abstract

Target position estimation is valuable for sensor detection and weapon attack. However, there is position uncertainty due to sensor detection accuracy and environmental noise. In this paper, the uncertainty region is graphically represented by area of uncertainty (AOU), and the error ellipses represent the error dispersal of 2D target s position. Calculate AOU using Extended Kalman Filter (EKF) algorithm and Dead Reckon (DR) algorithm. EKF covariance matrix is used for calculating AOU while estimating target position; The dead reckon algorithm realizes the update of AOU by calculating the time difference based on the last time’s AOU. Finally, it was implemented and operated in a naval combat system, which verifies the effectiveness of the algorithms.