| 自举滤波器在非线性目标跟踪系统中的应用 |
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| 引用本文： | 曾涛,徐涛,李栋,崔智社.自举滤波器在非线性目标跟踪系统中的应用[J].北京理工大学学报,2004,24(5):450-453. |
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| 作者姓名： | 曾涛 徐涛 李栋 崔智社 |
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| 作者单位： | 北京理工大学,信息科学技术学院电子工程系,北京,100081;北京理工大学,信息科学技术学院电子工程系,北京,100081;北京理工大学,信息科学技术学院电子工程系,北京,100081;北京理工大学,信息科学技术学院电子工程系,北京,100081 |
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| 摘 要： | 为了解决目标跟踪领域中非线性、非高斯系统问题,研究了贝叶斯滤波算法及其一种实现方法,即自举滤波算法(BSF),并在滤波精度、运算量等方面与扩展卡尔曼滤波算法(EKF)进行比较分析.最后基于一个典型的非线性模型对BSF和EKF进行了仿真比较.仿真结果表明,自举滤波算法的性能优于扩展卡尔曼滤波算法的性能.
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| 关 键 词： | 目标跟踪 非线性 扩展卡尔曼滤波 自举滤波 |
| 文章编号： | 1001-0645(2004)05-0450-04 |
| 收稿时间： | 1/4/2004 12:00:00 AM |
| 修稿时间： | 2004年1月4日 |
Application of Bootstrap Filter in Nonlinear Target Tracking Systems |
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| ZENG Tao,XU Tao,LI Dong and CUI Zhi-she.Application of Bootstrap Filter in Nonlinear Target Tracking Systems[J].Journal of Beijing Institute of Technology(Natural Science Edition),2004,24(5):450-453. |
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| Authors: | ZENG Tao XU Tao LI Dong and CUI Zhi-she |
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| Institution: | Department of Electronic Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China;Department of Electronic Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China;Department of Electronic Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China;Department of Electronic Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China |
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| 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. |
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| Keywords: | target tracking nonlinear extended Kalman filter bootstrap filters |
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