Angle estimation error reduction method using weighted IMM and least squares

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• 作者：Seong Hee Choi ; Taek Lyul Song
• 关键词：Angle estimation error ; interacting multiple model ; least squares ; weighted interacting multiple model
• 刊名：International Journal of Control, Automation and Systems
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：15
• 期：1
• 页码：354-361
• 全文大小：
• 刊物类别：Engineering
• 刊物主题：Control, Robotics, Mechatronics;
• 出版者：Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers
• ISSN：2005-4092
• 卷排序：15

文摘

This paper proposes a new approach to reduce target estimation error, especially the measurement angle, when applied to medium- and long-range surveillance radars. If the target does not maneuver or change heading direction for a certain time interval, the predicted angle from the interacting multiple model (IMM) algorithm based on previous track information can be used to reduce the angle estimation error. In addition, the least squares algorithm should be used to calculate the accurate measurement angle. The proposed method, which is weighted IMM (WIMM), including the least squares, is tested using two simulation scenarios: a scenario with a non-maneuvering target and a scenario with a maneuvering target. The result shows that the new generated angle solution with the predicted azimuth and the measured azimuth works properly in these two scenarios and performs better than IMM.