A target tracking algorithm based on covariance rotated transform
Zhong Liu · Electronics Optics & Control · 2008
Extended Kalman Filter(EKF) is sensitive to initial value selection and has high linear error.According to the initial range to where the underwater target may locate,we divided the initial range into sections(sub-ranges).Filtering models were built up for each section correspondingly.The covariance rotated transform approximate matrix was constructed by use of the principle of covariance rotated transform.After analyzing the errors of the approximating process,a single platform bearings-only target tracking algorithm based on covariance rotated transform was put forward.Monte Carlo method was used for simulation.The result showed that the algorithm is effective,stable and has high accuracy.