A new algorithm of maneuvering target traclcing-VDQ

Qingyu Gao; Meiguo Gao; Yueqiu Han

A new algorithm of maneuvering target traclcing-VDQ

Qingyu Gao^*
, Meiguo Gao
, Yueqiu Han

^*此作品的通讯作者

信息与电子学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Aim To study algorithms of maneuvering target tracking. Methods Generalized likelihood technology was used for reliability and real-time to detect maneuvers. A new tracking algorithm was developed through combining the variable dimension with the state noise covariance estimation method. The state noise covari- ance estimation method was used to avoid transient error when maneuver is smaller. Results and Conclusion Computer simulation shows the algorithm has better tracking performance.

源语言	英语
页（从-至）	92-94
页数	3
期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷	19
期	1
出版状态	已出版 - 1999

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引用此

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title = "A new algorithm of maneuvering target traclcing-VDQ",

abstract = "Aim To study algorithms of maneuvering target tracking. Methods Generalized likelihood technology was used for reliability and real-time to detect maneuvers. A new tracking algorithm was developed through combining the variable dimension with the state noise covariance estimation method. The state noise covari- ance estimation method was used to avoid transient error when maneuver is smaller. Results and Conclusion Computer simulation shows the algorithm has better tracking performance.",

keywords = "Kalman filtering, Maneuvering detection! maneuvering target tracking, System state noise",

author = "Qingyu Gao and Meiguo Gao and Yueqiu Han",

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T1 - A new algorithm of maneuvering target traclcing-VDQ

AU - Gao, Qingyu

AU - Gao, Meiguo

AU - Han, Yueqiu

PY - 1999

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N2 - Aim To study algorithms of maneuvering target tracking. Methods Generalized likelihood technology was used for reliability and real-time to detect maneuvers. A new tracking algorithm was developed through combining the variable dimension with the state noise covariance estimation method. The state noise covari- ance estimation method was used to avoid transient error when maneuver is smaller. Results and Conclusion Computer simulation shows the algorithm has better tracking performance.

AB - Aim To study algorithms of maneuvering target tracking. Methods Generalized likelihood technology was used for reliability and real-time to detect maneuvers. A new tracking algorithm was developed through combining the variable dimension with the state noise covariance estimation method. The state noise covari- ance estimation method was used to avoid transient error when maneuver is smaller. Results and Conclusion Computer simulation shows the algorithm has better tracking performance.

KW - Kalman filtering

KW - Maneuvering detection! maneuvering target tracking

KW - System state noise

UR - https://www.scopus.com/pages/publications/71149115623

M3 - Article

AN - SCOPUS:71149115623

SN - 1001-0645

VL - 19

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EP - 94

JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - 1

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A new algorithm of maneuvering target traclcing-VDQ

摘要

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