Robust centralized and weighted measurement fusion white noise deconvolution estimators for multisensor systems with mixed uncertainties

Wen-Qiang Liu; Xue-Mei Wang; Zi-Li Deng

doi:10.1002/acs.2837

Robust centralized and weighted measurement fusion white noise deconvolution estimators for multisensor systems with mixed uncertainties

International Journal of Adaptive Control and Signal Processing ◽

10.1002/acs.2837 ◽

2017 ◽

Vol 32 (1) ◽

pp. 185-212 ◽

Cited By ~ 11

Author(s):

Wen-Qiang Liu ◽

Xue-Mei Wang ◽

Zi-Li Deng

Keyword(s):

White Noise ◽

Multisensor Systems ◽

Mixed Uncertainties ◽

Deconvolution Estimators

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Distributed weighted fusion robust white noise deconvolution estimators for multisensor systems with mixed uncertainties

2019 Chinese Control Conference (CCC) ◽

10.23919/chicc.2019.8865140 ◽

2019 ◽

Author(s):

Wenqiang Liu ◽

Yajing Fan ◽

Guili Tao ◽

Guiqiang Zhang

Keyword(s):

White Noise ◽

Multisensor Systems ◽

Weighted Fusion ◽

Mixed Uncertainties ◽

Deconvolution Estimators

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Information fusion white noise deconvolution estimators for multisensor systems with different local models

2009 Chinese Control and Decision Conference ◽

10.1109/ccdc.2009.5193331 ◽

2009 ◽

Cited By ~ 1

Author(s):

Xiao-Jun Sun ◽

Zi-Li Deng

Keyword(s):

White Noise ◽

Information Fusion ◽

Local Models ◽

Multisensor Systems ◽

Deconvolution Estimators

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Information fusion steady-state white noise deconvolution estimators

10.1109/chicc.2008.4604891 ◽

2008 ◽

Author(s):

Sun Xiaojun ◽

Wang Shigang ◽

Deng Zili

Keyword(s):

Steady State ◽

White Noise ◽

Information Fusion ◽

Deconvolution Estimators

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Robust weighted fusion steady-state white noise deconvolution smoothers for multisensor systems with uncertain noise variances

Signal Processing ◽

10.1016/j.sigpro.2015.11.023 ◽

2016 ◽

Vol 122 ◽

pp. 98-114 ◽

Cited By ~ 21

Author(s):

Wen-Qiang Liu ◽

Xue-Mei Wang ◽

Zi-Li Deng

Keyword(s):

Steady State ◽

White Noise ◽

Multisensor Systems ◽

Weighted Fusion

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Multisensor Optimal Information Fusion Input White Noise Deconvolution Estimators

IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) ◽

10.1109/tsmcb.2004.830349 ◽

2004 ◽

Vol 34 (4) ◽

pp. 1886-1893 ◽

Cited By ~ 35

Author(s):

S. Sun

Keyword(s):

White Noise ◽

Information Fusion ◽

Optimal Information ◽

Deconvolution Estimators

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Information fusion white noise deconvolution estimators for time-varying systems

Signal Processing ◽

10.1016/j.sigpro.2007.11.011 ◽

2008 ◽

Vol 88 (5) ◽

pp. 1233-1247 ◽

Cited By ~ 25

Author(s):

Xiao-Jun Sun ◽

Yuan Gao ◽

Zi-Li Deng

Keyword(s):

White Noise ◽

Information Fusion ◽

Time Varying ◽

Time Varying Systems ◽

Deconvolution Estimators

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Distributed fusion white noise deconvolution estimators

Frontiers of Electrical and Electronic Engineering in China ◽

10.1007/s11460-009-0031-0 ◽

2009 ◽

Vol 4 (3) ◽

pp. 270-277 ◽

Cited By ~ 1

Author(s):

Xiaojun Sun ◽

Zili Deng

Keyword(s):

White Noise ◽

Distributed Fusion ◽

Deconvolution Estimators

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Information fusion steady-state white noise deconvolution estimators with time-delayed measurements

10.1109/chicc.2008.4604900 ◽

2008 ◽

Author(s):

Sun Xiaojun ◽

Deng Zili

Keyword(s):

Steady State ◽

White Noise ◽

Information Fusion ◽

Delayed Measurements ◽

Deconvolution Estimators

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Robust white noise deconvolution estimators for systems with uncertain-variance linearly correlated white noises and missing measurements

2017 36th Chinese Control Conference (CCC) ◽

10.23919/chicc.2017.8028157 ◽

2017 ◽

Author(s):

Wenqiang Liu ◽

Zili Deng

Keyword(s):

White Noise ◽

Missing Measurements ◽

White Noises ◽

Deconvolution Estimators

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Robust weighted fusion white noise deconvolution estimators with uncertain-variance linearly correlated white noises and missing measurements

2017 20th International Conference on Information Fusion (Fusion) ◽

10.23919/icif.2017.8009660 ◽

2017 ◽

Author(s):

Wenqiang Liu ◽

Zili Deng

Keyword(s):

White Noise ◽

Missing Measurements ◽

Weighted Fusion ◽

White Noises ◽

Deconvolution Estimators

Download Full-text