Title :
A modified extended Kalman filter for bearings-only tracking
Author :
Ahmadian, A. ; Pezeshk, Amir M.
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
Abstract :
In this paper a Modified Extended Kalman Filter (MEKF) for the problem of Bearings-Only Tracking (BOT) is proposed. The suggested filter takes into account the amount of nonlinearity introduced through bearing measurements and adjusts the estimated range. In addition, it adds sufficient stabilizing noise to the error covariance matrix to make the filter consistent. Simulation results demonstrate an obvious superiority in terms of precision over the standard Extended Kalman Filter (EKF) tracking scenarios.
Keywords :
Kalman filters; covariance matrices; nonlinear filters; object tracking; BOT; EKF tracking; MEKF; bearing measurement; bearings-only tracking; error covariance matrix; modified extended Kalman filter; Covariance matrices; Equations; Kalman filters; Maximum likelihood detection; Standards; Target tracking; Vectors; Modified Extended Kalman Filter; Standard Extended Kalman Filter; maneuver; nonlinearity; target;
Conference_Titel :
Electrical Engineering (ICEE), 2014 22nd Iranian Conference on
Conference_Location :
Tehran
DOI :
10.1109/IranianCEE.2014.6999814