文章基本信息

标题：The Tracking Algorithm for Maneuvering Target Based on Adaptive Kalman Filter
本地全文：下载
作者：Zheng Tang ; Chao Sun ; Zongwei Liu 等
期刊名称：The International Arab Journal of Information Technology
印刷版ISSN：1683-3198
出版年度：2013
卷号：10
期号：5
出版社：Zarqa Private University
摘要：The application of kalman filter in tracking the maneuver target is not available as it is used in tracking the target of uniform motion. Therefore, a improved method for tracking a maneuver target is proposed. In the proposed approach, the maneuver detector provides the estimate of time instant at which a target starts to maneuver, when a target maneuver is determined, the kalman filter model will be adjusted with varied target motion state. The maneuver, modeled as an acceleration, is estimated recurslvely. Finally, the performance of the proposed approach is shown to be superior to kalman filter by simulation
关键词：Adaptive kalman filter; maneuver target tracking; maneuver detector; state estimation