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一种空间分布式变阶数自适应网络滤波算法

张勇刚 王程程 魏野 李宁 周卫东

张勇刚, 王程程, 魏野, 李宁, 周卫东. 一种空间分布式变阶数自适应网络滤波算法. 自动化学报, 2014, 40(7): 1355-1365. doi: 10.3724/SP.J.1004.2014.01355
引用本文: 张勇刚, 王程程, 魏野, 李宁, 周卫东. 一种空间分布式变阶数自适应网络滤波算法. 自动化学报, 2014, 40(7): 1355-1365. doi: 10.3724/SP.J.1004.2014.01355
ZHANG Yong-Gang, WANG Cheng-Cheng, WEI Ye, LI Ning, ZHOU Wei-Dong. A Spatially Distributed Variable Tap-length Strategy over Adaptive Networks. ACTA AUTOMATICA SINICA, 2014, 40(7): 1355-1365. doi: 10.3724/SP.J.1004.2014.01355
Citation: ZHANG Yong-Gang, WANG Cheng-Cheng, WEI Ye, LI Ning, ZHOU Wei-Dong. A Spatially Distributed Variable Tap-length Strategy over Adaptive Networks. ACTA AUTOMATICA SINICA, 2014, 40(7): 1355-1365. doi: 10.3724/SP.J.1004.2014.01355

一种空间分布式变阶数自适应网络滤波算法

doi: 10.3724/SP.J.1004.2014.01355
基金项目: 

国家自然科学基金(61001154,61201409,61371173),中国博士后科学基金(2012M510923,2013M530147,2013T60347),哈尔滨工程大学中央高校基本科研业务费专项基金(HEUCFX41307),黑龙江省博士后基金(LBH-Z13052)资助

详细信息
    作者简介:

    张勇刚 哈尔滨工程大学自动化学院教授. 2007 年获英国Cardiff 大学博士学位. 主要研究方向为自适应滤波,卡尔曼滤波及其应用.E-mail:zhangyg@hrbeu.edu.cn

A Spatially Distributed Variable Tap-length Strategy over Adaptive Networks

Funds: 

Supported by National Natural Science Foundation of China (61001154, 61201409, 61371173), China Postdoctoral Science Foundation (2012M510923, 2013M530147, 2013T60347), Fundamental Research Funds for the Central Universities of Harbin Engineering University (HEUCFX41307), and Heilongjiang Postdoctoral Fund (LBH-Z13052)

  • 摘要: 现有的自适应网络滤波算法大都假设未知参数向量的阶数已知且恒定,无法解决阶数未知或时变条件下的参数向量估计问题. 以最小化网络均方误差为准则,提出一种空间分布式变阶数自适应网络滤波算法. 该算法仅要求网络中的各节点与相邻节点进行通信,通过扩散的方式实现整个网络数据信息的融合,具有计算量小、可操作性强及估计精度高的特点.仿真表明,提出的算法能够有效地估计和跟踪未知参数向量的阶数和权值.
  • [1] Lopes C G, Sayed A H. Incremental adaptive strategies over distributed networks. IEEE Transactions on Signal Processing, 2007, 55(8): 4064-4077
    [2] Sayed A H, Lopes C G. Adaptive processing over distributed networks. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2007, 90(8): 1504-1510
    [3] Wang Le-Yi, Zhao Wen-Xiao. System identification: new paradigms, challenges, and opportunities. Acta Automatica Sinica, 2013, 39(7): 933-942(王乐一, 赵文虓. 系统辨识: 新的模式、挑战及机遇. 自动化学报, 2013, 39(7): 933-942)
    [4] Cattivelli F S, Sayed A H. Diffusion LMS strategies for distributed estimation. IEEE Transactions on Signal Processing, 2010, 58(3): 1035-1048
    [5] Lopes C G, Sayed A H. Diffusion least-mean squares over adaptive networks: formulation and performance analysis. IEEE Transactions on Signal Processing, 2008, 56(7): 3122-3136
    [6] Takahashi N, Yamada I, Sayed A H. Diffusion least-mean squares with adaptive combiners: formulation and performance analysis. IEEE Transactions on Signal Processing, 2010, 58(9): 4795-4810
    [7] Cattivelli F S, Lopes C G, Sayed A H. Diffusion recursive least-squares for distributed estimation over adaptive networks. IEEE Transactions on Signal Processing, 2008, 56(5): 1865-1877
    [8] Cattivelli F S, Sayed A H. Diffusion strategies for distributed Kalman filtering and smoothing. IEEE Transactions on Automatic Control, 2010, 55(9): 2069-2084
    [9] Wan Yi-Ming, Dong Wei, Ye Hao. Distributed H∞ filtering with consensus strategies in sensor networks: considering consensus tracking error. Acta Automatica Sinica, 2012, 38(7): 1211-1217(万一鸣, 董炜, 叶昊. 传感器网络中带有一致性策略的分布式H∞滤波: 考虑一致性跟踪误差. 自动化学报, 2012, 38(7): 1211-1217)
    [10] Yang Xiao-Jun, Xing Ke-Yi. Channel fault tolerant target tracking in multi-hop wireless sensor networks based on particle filtering. Acta Automatica Sinica, 2011, 37(4): 440-448(杨小军, 邢科义. 无线多跳传感器网络下基于粒子滤波的信道容错的目标跟踪方法. 自动化学报, 2011, 37(4): 440-448)
    [11] Chen J S, Sayed A H. Diffusion adaptation strategies for distributed optimization and learning over networks. IEEE Transactions on Signal Processing, 2012, 60(8): 4289-4305
    [12] Tu S Y, Sayed A H. Diffusion strategies outperform consensus strategies for distributed estimation over adaptive networks. IEEE Transactions on Signal Processing, 2012, 60(12): 6217-6234
    [13] Zhao X, Tu S Y, Sayed A H. Diffusion adaptation over networks under imperfect information exchange and non-stationary data. IEEE Transactions on Signal Processing, 2012, 60(7): 3460-3475
    [14] Khalili A, Tinati M A, Rastegarnia A, Chambers J A. Steady-state analysis of diffusion LMS adaptive networks with noisy links. IEEE Transactions on Signal Processing, 2012, 60(2): 974-979
    [15] Zhao X C, Sayed A H. Performance limits for distributed estimation over LMS adaptive networks. IEEE Transactions on Signal Processing, 2012, 60(10): 5107-5124
    [16] Lee J W, Kim S E, Song W J, Sayed A H. Spatio-temporal diffusion strategies for estimation and detection over networks. IEEE Transactions on Signal Processing, 2012, 60(8): 4017-4034
    [17] Chouvardas S, Slavakis K, Theodoridis S. Adaptive robust distributed learning in diffusion sensor networks. IEEE Transactions on Signal Processing, 2011, 59(10): 4692-4707
    [18] Gong Y, Cowan C F N. An LMS style variable tap-length algorithm for structure adaptation. IEEE Transactions on Signal Processing, 2005, 53(7): 2400-2407
    [19] Zhang Y G, Li N, Chambers J A, Sayed A H. Steady-state performance analysis of a variable tap-length LMS algorithm. IEEE Transactions on Signal Processing, 2008, 56(2): 839-845
    [20] Zhang Y G, Chambers J A. Convex combination of adaptive filters for a variable tap-length LMS algorithm. IEEE Signal Processing Letters, 2006, 13(10): 628-631
    [21] Zhang Y G, Chambers J A, Sanei S, Kendrick P, Cox T J. A new variable tap-length LMS algorithm to model an exponential decay impulse response. IEEE Signal Processing Letters, 2007, 14(4): 263-266
    [22] Li N, Zhang Y G, Zhao Y X, Hao Y L. An improved variable tap-length LMS algorithm. Signal Processing, 2009, 89(5): 908-912
    [23] Haykin S. Adaptive Filter Theory. New Jersey: Prentice-Hall, 1996
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出版历程
  • 收稿日期:  2013-06-28
  • 修回日期:  2013-09-18
  • 刊出日期:  2014-07-20

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