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基于粒子滤波的一种改进的资料同化方法

冷洪泽 宋君强 曹小群 杨锦辉

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基于粒子滤波的一种改进的资料同化方法

冷洪泽, 宋君强, 曹小群, 杨锦辉

Improved particle filter in data assimilation

Leng Hong-Ze, Song Jun-Qiang, Cao Xiao-Qun, Yang Jin-Hui
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  • 针对在粒子数较少时传统的集合卡尔曼滤波和粒子滤波方法不能有效表征后验概率密度函数(PDF)的问题, 提出了一种改进的粒子滤波方法. 主要思想是在预测步之后引入更新步, 并且将观测时刻与非观测时刻的同化分析进行区别处理. 对典型的低维和高维混沌系统的仿真结果表明:改进粒子滤波方法是一种非常有效的估计非线性非高斯随机系统状态的方法.
    Owing to the fact that standard particle filter and ensemble Kalman filter can not efficiently represent the posterior probability density function (PDF), an improved particle filter is proposed. In this algorithm, an innovation step is introduced after the prediction step, and the analyses of non-observation time and observation time are treated separately. The numerical simulations of a low- and a high-dimensional systems show that this new particle filter can follow the true state of a highly nonlinear non-Gaussian system very well.
    • 基金项目: 国家自然科学基金(批准号: 40775064,40505023)资助的课题.
    • Funds: Project supported by the National Natural Science Foundation of China (Grant Nos. 40775064,40505023).
    [1]

    Zou X L 2009 Data Assimilation-Theory and Application(Vol.1)(Beijing China Meteorological Press) p43 (in Chinese)[邹晓蕾 2009 资料同化-理论与应用}(上册)(北京:气象出版社) 第43页]

    [2]

    Evensen G 1994 J. Geophys. Res. 99 10143

    [3]

    Evensen G, Van Leeuwen P J 2000 Mon Wea. Rev. 128 1852

    [4]

    Houtekamer P L, Mitchell H L 2001 Mon Wea. Rev.129 123

    [5]

    Lorenc A C 2003 Q. J. R. Meteorol. Soc. 129 3183

    [6]

    Julier S, Uhlmann J, Durrant W 2000 IEEE Transactions on AutomatedControl, Technical Notes and Correspondence 45 477

    [7]

    Liu C S, Xiao Q N, Wang B 2008 Mon Wea. Rev.136 3363

    [8]

    Navon I M, Zou X, Derber J 1992 Mon Wea. Rev.120 1433

    [9]

    Cao X Q, Huang S X, Zhang W M 2008 Acta Phys. sin. 57 1984(in Chinese)[曹小群, 黄思训, 杜华栋 2008 57 1984]

    [10]

    Michail D V, Dan C, Manfred O 2011 Physica D (in Press)

    [11]

    Pitt M, Shephard N 1999 J. Amer. Statist. Assoc. 94 590

    [12]

    Musso C, Oudjane N, LeGland F 2001 “Sequential Monte CarloMethods in Practice (New York: Springer-Verlag) pp247–271

    [13]

    Arulampalam M S, Maskell S, Gordon N, Clapp T 2002 IEEETransactions On Signal Processing 50 174

    [14]

    Cheng S Y, Zhang J Y 2008 Acta Electronica Sinica 36 500 (in Chinese)[程水英, 张剑云 2008 电子学报 36 500]

    [15]

    Du Z C, Tang B, Li K 2006 Acta Phys. Sin. 55 999 (in Chinese)[杜正聪, 唐斌, 李可 2006 55 999]

    [16]

    Kotceha J H, Djuric P M 2003 IEEE Transactions On Signal Processing 51 2592

    [17]

    Kotceha J H, Djuric P M 2003 IEEE Transactions On Signal Processing 51 2602

    [18]

    VanderMerwe R, Wan E 2003 Proceedings of the IEEE InternationalConference on Acoustics Speech and Signal Processing(ICASSP) 6 701

    [19]

    Eyink G L, Kim S 2006 J. Stat. Phys. 123 1071

    [20]

    VanLeeuwen P J 2009 Mon Wea. Rev.137 4089

    [21]

    Li X R, Jilkov V P 2003 IEEE Trans. AES 39 1333

    [22]

    Bar S. Y, Li X R, Kirubarajan T 2001 Estimation with Applicationsto Tracking and Navigation: Theory, Algorithms, and Software(New York: John Wiley & Sons) pp373–374

    [23]

    Doucet A, Freitas N D, Gordon N 2001 Sequential Mente CarloMethods in Practice(New York Springer-Verlag) pp25–26

    [24]

    VanLeeuwen P J 2010 Q. J. R. Meteorol. Soc. 136 1991

    [25]

    Nakano S, Ueno G, Higuchi T 2007 Nonlin. Processes Geophys.14 395

  • [1]

    Zou X L 2009 Data Assimilation-Theory and Application(Vol.1)(Beijing China Meteorological Press) p43 (in Chinese)[邹晓蕾 2009 资料同化-理论与应用}(上册)(北京:气象出版社) 第43页]

    [2]

    Evensen G 1994 J. Geophys. Res. 99 10143

    [3]

    Evensen G, Van Leeuwen P J 2000 Mon Wea. Rev. 128 1852

    [4]

    Houtekamer P L, Mitchell H L 2001 Mon Wea. Rev.129 123

    [5]

    Lorenc A C 2003 Q. J. R. Meteorol. Soc. 129 3183

    [6]

    Julier S, Uhlmann J, Durrant W 2000 IEEE Transactions on AutomatedControl, Technical Notes and Correspondence 45 477

    [7]

    Liu C S, Xiao Q N, Wang B 2008 Mon Wea. Rev.136 3363

    [8]

    Navon I M, Zou X, Derber J 1992 Mon Wea. Rev.120 1433

    [9]

    Cao X Q, Huang S X, Zhang W M 2008 Acta Phys. sin. 57 1984(in Chinese)[曹小群, 黄思训, 杜华栋 2008 57 1984]

    [10]

    Michail D V, Dan C, Manfred O 2011 Physica D (in Press)

    [11]

    Pitt M, Shephard N 1999 J. Amer. Statist. Assoc. 94 590

    [12]

    Musso C, Oudjane N, LeGland F 2001 “Sequential Monte CarloMethods in Practice (New York: Springer-Verlag) pp247–271

    [13]

    Arulampalam M S, Maskell S, Gordon N, Clapp T 2002 IEEETransactions On Signal Processing 50 174

    [14]

    Cheng S Y, Zhang J Y 2008 Acta Electronica Sinica 36 500 (in Chinese)[程水英, 张剑云 2008 电子学报 36 500]

    [15]

    Du Z C, Tang B, Li K 2006 Acta Phys. Sin. 55 999 (in Chinese)[杜正聪, 唐斌, 李可 2006 55 999]

    [16]

    Kotceha J H, Djuric P M 2003 IEEE Transactions On Signal Processing 51 2592

    [17]

    Kotceha J H, Djuric P M 2003 IEEE Transactions On Signal Processing 51 2602

    [18]

    VanderMerwe R, Wan E 2003 Proceedings of the IEEE InternationalConference on Acoustics Speech and Signal Processing(ICASSP) 6 701

    [19]

    Eyink G L, Kim S 2006 J. Stat. Phys. 123 1071

    [20]

    VanLeeuwen P J 2009 Mon Wea. Rev.137 4089

    [21]

    Li X R, Jilkov V P 2003 IEEE Trans. AES 39 1333

    [22]

    Bar S. Y, Li X R, Kirubarajan T 2001 Estimation with Applicationsto Tracking and Navigation: Theory, Algorithms, and Software(New York: John Wiley & Sons) pp373–374

    [23]

    Doucet A, Freitas N D, Gordon N 2001 Sequential Mente CarloMethods in Practice(New York Springer-Verlag) pp25–26

    [24]

    VanLeeuwen P J 2010 Q. J. R. Meteorol. Soc. 136 1991

    [25]

    Nakano S, Ueno G, Higuchi T 2007 Nonlin. Processes Geophys.14 395

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出版历程
  • 收稿日期:  2011-06-25
  • 修回日期:  2012-04-05
  • 刊出日期:  2012-04-05

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