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

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	92-94
Number of pages	3
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	19
Issue number	1
Publication status	Published - 1999

Keywords

Kalman filtering
Maneuvering detection! maneuvering target tracking
System state noise

Cite this

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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.",

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

year = "1999",

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T1 - A new algorithm of maneuvering target traclcing-VDQ

AU - Gao, Qingyu

AU - Gao, Meiguo

AU - Han, Yueqiu

PY - 1999

Y1 - 1999

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

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M3 - Article

AN - SCOPUS:71149115623

SN - 1001-0645

VL - 19

SP - 92

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

ER -

A new algorithm of maneuvering target traclcing-VDQ

Abstract

Keywords

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