Search academic texts

Information × Registration Number 0216U007372, 0116U006094 , R & D reports Title Development of target tracking algorithms due to a three-coordinate radar with maneuver detection popup.stage_title Head Zhuk Serhii Yakovych, Доктор технічних наук Registration Date 08-11-2016 Organization National Technical University of Ukraine "Kiev Polytechnic Institute". popup.description2 Kalman filtering method in discrete time is widespread used for solving problems of determining objects motion parameters of different types according to trajectory measurements. Synthesized trajectory filtering algorithms based on it are recurrent and convenient for implementation on a computer. However, when filtering coordinate measurements of the maneuvering target is performed the error estimates is increased, and the smoothing filter is diverged and the target tracking is had a breakdown. To increase the effectiveness target tracking algorithm adaptive filtering of motion parameters of the maneuvering target in a rectangular coordinate system due to the three-axis radar is developed. At that this target trajectory is divided into sections with maneuver motion and without it. For each of these sections a Kalman filter is used. Switching filters are managed on the basis of the maneuver detector, which takes into account the connection between the filter channels. When maneuvering target is appeared, filter that take into account hypothesis of the target movement without maneuver is constantly adjusted by the second filter that prevents its significant divergence, and allows you to quickly recover after the end of the maneuver. The developed algorithm for estimating the target motion parameters with maneuver detection allow to track weak maneuvering target with high accuracy and do not lose it when maneuver is appeared. It was determined that significant computational costs for its implementation does not require. The algorithm analysis on the test target movement paths with different kinds of maneuvers is carried out by statistical computer modeling. Product Description popup.authors Неуймін Олександр Станіславович Неуймін Сергій Станіславович Товкач Ігор Олегович popup.nrat_date 2020-04-02 Close