A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Advanced Search
Volume 4 Issue 1
Jan.  2017

IEEE/CAA Journal of Automatica Sinica

  • JCR Impact Factor: 15.3, Top 1 (SCI Q1)
    CiteScore: 23.5, Top 2% (Q1)
    Google Scholar h5-index: 77， TOP 5
Turn off MathJax
Article Contents
Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2017  >  4(1): 154-160
Wei Sun and Yongjian Yang, "Adaptive Maneuvering Frequency Method of Current Statistical Model," IEEE/CAA J. Autom. Sinica, vol. 4, no. 1, pp. 154-160, Jan. 2017.
Citation: Wei Sun and Yongjian Yang, "Adaptive Maneuvering Frequency Method of Current Statistical Model," IEEE/CAA J. Autom. Sinica, vol. 4, no. 1, pp. 154-160, Jan. 2017.
shu

Adaptive Maneuvering Frequency Method of Current Statistical Model

  • 1.

    Department of Applied Science, Xijing University, Xi'an 710123, China

  • 2.

    Aeronautics and Astronautics Engineering College, Air Force Engineering University, Xi'an 710038, China

Funds:

Natural Science Foundation Research Project of Shanxi Science and Technology Department 2016JM1032

More Information
    Abstract
  • Current statistical model (CSM) has a good performance in maneuvering target tracking. However, the fixed maneuvering frequency will deteriorate the tracking results, such as a serious dynamic delay, a slowly converging speedy and a limited precision when using Kalman filter (KF) algorithm. In this study, a new current statistical model and a new Kalman filter are proposed to improve the performance of maneuvering target tracking. The new model which employs innovation dominated subjection function to adaptively adjust maneuvering frequency has a better performance in step maneuvering target tracking, while a fluctuant phenomenon appears. As far as this problem is concerned, a new adaptive fading Kalman filter is proposed as well. In the new Kalman filter, the prediction values are amended in time by setting judgment and amendment rules, so that tracking precision and fluctuant phenomenon of the new current statistical model are improved. The results of simulation indicate the effectiveness of the new algorithm and the practical guiding significance.

     

    • FullText(HTML)
  • loading
    • References(17)
  • [1]
    J. R. Cloutier, C. F. Lin, and C. Yang, "Maneuvering target tracking via smoothing and filtering through measurement concatenation, "J. Guid. Control Dyn., vol. 16, no. 2, pp. 377-384, Mar.-Apr. 1993.
    [2]
    H. R. Zhou and K. S. P. Kumar, "A current statistical model and adaptive algorithm for estimating maneuvering targets, "J. Guid. Control Dyn., vol. 7, no. 5, pp. 596-602, Sep. 1984. http://zhidao.baidu.com/question/117391968.html
    [3]
    X. D. Qian and B. S. Wang, "A motion model for tracking highly maneuvering targets, "in Proc. IEEE Radar Conf., Long Beach, CA, USA, 2002, pp. 493-499. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=999767
    [4]
    X. R. Li and V. P. Jilov, "Survey of maneuvering target tracking. Part V:multiple-model methods, "IEEE Trans. Aerosp. Electron. Syst., vol. 41, no. 4, pp. 1255-1321, Oct. 2005. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1261132
    [5]
    W. S. Liu, Y. A. Li, and L. Cui, "Adaptive strong tracking algorithm for maneuvering targets based on current statistical model, "Syst. Eng. Electron., vol. 33, no. 9, pp. 1937-1940, Sep. 2011. http://en.cnki.com.cn/Article_en/CJFDTOTAL-XTYD201109006.htm
    [6]
    W. P. Huang, Y. Xu, and J. Wang, "Algorithm based on modified current statistic mode for turn maneuver, "Control Decision, vol. 26, no. 9, pp. 1412-1416, Sep. 2011. http://en.cnki.com.cn/Article_en/CJFDTOTAL-KZYC201109026.htm
    [7]
    J. F. Wu, G. Li, and F. Z. Ma, "Research on target tracking algorithm using improved current statistical model, "in Proc. 2011 Int. Conf. Electrical and Control Engineering (ICECE), Yichang, China, 2011, pp. 2515-2517.
    [8]
    X. R. Li and V. P. Jilkov, "A survey of maneuvering target tracking:decision-based methods, "in Proc. SPIE 4728, Signal and Data Processing of Small Targets, Orlando, FL, 2002. https://www.deepdyve.com/lp/spie/survey-of-maneuvering-target-tracking-decision-based-methods-T5BsC0OiDq
    [9]
    H. Najjaran and A. Goldenberg, "Real-time motion planning of an autonomous mobile manipulator using a fuzzy adaptive Kalman filter, "Rob. Auton. Syst., vol. 55, no. 2, pp. 96-106, Feb. 2007. http://www.wenkuxiazai.com/doc/4a2ff40010661ed9ad51f33d.html
    [10]
    L. W. Diao and J. Y. Yang, "An improved description of current statistical model for maneuvering target, "Acta Armam., vol. 26, no. 6, pp. 825-828, Nov. 2005. http://en.cnki.com.cn/Article_en/CJFDTOTAL-BIGO200506024.htm
    [11]
    L. Chen, X. Gong, H. J. Shi, and J. W. Yang, "Maneuvering frequency adaptive algorithm of maneuvering target tracking, "in Proc. 20134th Int. Conf. Intelligent Control and Information Processing (ICICIP), Beijing, China, 2013, pp. 455-458. http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6568117
    [12]
    P. J. Pan, X. X. Feng, F. Li, L. Shi, and P. Sun, "Adaptive constant acceleration model and tracking algorithm based on strong tracking filter, "Syst. Eng. Theory Pract., vol. 24, no. 5, pp. 136-147, May 2008. http://en.cnki.com.cn/Article_en/CJFDTOTAL-XTLL200805018.htm
    [13]
    L. H. Wang, Q. D. Zhu, and Z. Y. Xing, "Adaptive nonlinear filter algorithm based on current statistical model, "in Proc. 2007 Int. Conf. Mechatronics and Automation, Harbin, China, 2007, pp. 2414-2418. http://ieeexplore.ieee.org/document/4303933/
    [14]
    H. R. Zhou, Z. L. Jing, and P. D. Wang, Tracking of Maneuvering Targets. Beijing:National Defense Industry Press, 1991, pp. 134-154.
    [15]
    R. A. Singer, "Estimating optimal tracking filter performance for manned maneuvering targets, "IEEE Trans. Aerosp. Electron. Syst., vol. AES-6, no. 4, pp. 473-483, Jul. 1970. http://citeseerx.ist.psu.edu/showciting?cid=2942
    [16]
    D. J. Xu, R. He, F. Shen, and M. Gai, "Adaptive fading Kalman filter based on innovation covariance, "Syst. Eng. Electron., vol. 33, no. 12, pp. 2696-2699, Dec. 2011. http://en.cnki.com.cn/Article_en/CJFDTOTAL-XTYD201112025.htm
    [17]
    Y. J. Yang, X. G. Fan, S. D. Wang, Z. F. Zhou, and Y. Xu, "Target tracking based on amendatory Kalman filter, "Syst. Eng. Electron., vol. 36, no. 5, pp. 846-851, May 2014.
    • Related Articles
    • Supplements(0)

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(17)

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (1190) PDF downloads(10) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return