文章基本信息

标题：Application Of Probability Filter For Maintenance Of Air Objects
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作者：Stanislav Piskunov ; Maksym Iasechko ; leksandr Yukhno 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2021
卷号：21
期号：5
页码：31-34
DOI：10.22937/IJCSNS.2021.21.5.5
出版社：International Journal of Computer Science and Network Security
摘要：The article considers the possibilities of increasing the accuracy of estimates of the parameters of the trajectory of the target with the provision of a given probability of stable support of the air object, in particular, during its maneuver. The aim of the work is to develop a filtration algorithm that provides a given probability of stable tracking of the air object by determining the regular components of filtration errors, in particular, when maneuvering the air object, and their compensation with appropriate correction of filter parameters and estimates of air object trajectory parameters.
关键词：Kalman filter; air object tracking; filtering errors; air object.