MATEC Web Conf.
Volume 232, 20182018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
|Number of page(s)||4|
|Section||Circuit Simulation, Electric Modules and Displacement Sensor|
|Published online||19 November 2018|
Ship Tracking with Static Electric Field Based on Adaptive Progressive Update Extended Kalman Filter
Science and Technology on Near-Surface Detection Laboratory, Wuxi, Jiangsu 214035, China
2 College of Weapon Engineering, Naval University of Engineering, Wuhan, Hubei 430033, China
a Corresponding author: firstname.lastname@example.org
An adaptive progressive update extended Kalman filter is introduced for unknown noise in ship tracking using static electric field. The corresponding state space model is established; the algorithm is introduced, and the simulation is designed. The simulation results show that the adaptive algorithm can effectively improve the performance of the algorithm, when the noise covariance deviates from the real value; the finite number of noise covariance estimation is beneficial to the stability of the filter.
© The Authors, published by EDP Sciences, 2018
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