Application of bootstrap filter in nonlinear target tracking systems

Tao Zeng; Tao Xu; Dong Li; Zhi She Cui

Application of bootstrap filter in nonlinear target tracking systems

Tao Zeng^*
, Tao Xu
, Dong Li
, Zhi She Cui

^*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

1 引用（Scopus）

摘要

To solve nonlinear, non-Gaussian system problems in target tracking, the paper focuses on Bayesian filters and its realization, the bootstrap filter (BSF), which is compared with the extended Kalman filter (EKF) as to the accuracy, computational load, and other aspects. A simulation of a typical model is presented to compare the performances of BSF and EKF. The simulation shows that the performance of BSF is superior to that of EKF.

源语言	英语
页（从-至）	450-453
页数	4
期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷	24
期	5
出版状态	已出版 - 5月 2004

其它文件与链接

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引用此

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title = "Application of bootstrap filter in nonlinear target tracking systems",

abstract = "To solve nonlinear, non-Gaussian system problems in target tracking, the paper focuses on Bayesian filters and its realization, the bootstrap filter (BSF), which is compared with the extended Kalman filter (EKF) as to the accuracy, computational load, and other aspects. A simulation of a typical model is presented to compare the performances of BSF and EKF. The simulation shows that the performance of BSF is superior to that of EKF.",

keywords = "Bootstrap filters, Extended Kalman filter, Nonlinear, Target tracking",

author = "Tao Zeng and Tao Xu and Dong Li and Cui, \{Zhi She\}",

year = "2004",

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language = "English",

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T1 - Application of bootstrap filter in nonlinear target tracking systems

AU - Zeng, Tao

AU - Xu, Tao

AU - Li, Dong

AU - Cui, Zhi She

PY - 2004/5

Y1 - 2004/5

N2 - To solve nonlinear, non-Gaussian system problems in target tracking, the paper focuses on Bayesian filters and its realization, the bootstrap filter (BSF), which is compared with the extended Kalman filter (EKF) as to the accuracy, computational load, and other aspects. A simulation of a typical model is presented to compare the performances of BSF and EKF. The simulation shows that the performance of BSF is superior to that of EKF.

AB - To solve nonlinear, non-Gaussian system problems in target tracking, the paper focuses on Bayesian filters and its realization, the bootstrap filter (BSF), which is compared with the extended Kalman filter (EKF) as to the accuracy, computational load, and other aspects. A simulation of a typical model is presented to compare the performances of BSF and EKF. The simulation shows that the performance of BSF is superior to that of EKF.

KW - Bootstrap filters

KW - Extended Kalman filter

KW - Nonlinear

KW - Target tracking

UR - https://www.scopus.com/pages/publications/4344589624

M3 - Article

AN - SCOPUS:4344589624

SN - 1001-0645

VL - 24

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EP - 453

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

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

IS - 5

ER -

Application of bootstrap filter in nonlinear target tracking systems

摘要

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