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

^*Corresponding author for this work

School of Information and Electronics

Beijing Institute of Technology

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

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.

Original language	English
Pages (from-to)	450-453
Number of pages	4
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	24
Issue number	5
Publication status	Published - May 2004

Keywords

Bootstrap filters
Extended Kalman filter
Nonlinear
Target tracking

Cite this

@article{5b3e0d59ba904c0e8b59082d56d105df,

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",

month = may,

language = "English",

volume = "24",

pages = "450--453",

journal = "Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology",

issn = "1001-0645",

publisher = "Beijing Institute of Technology",

number = "5",

}

TY - JOUR

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 - http://www.scopus.com/inward/record.url?scp=4344589624&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:4344589624

SN - 1001-0645

VL - 24

SP - 450

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

Abstract

Keywords

Other files and links

Fingerprint

Cite this