Electronics Optics & Control, Volume. 25, Issue 1, 44(2018)
A Multi-sensor Fusion Estimating Approach for Stochastic Sensor Gain Degradation
[1] [1] SHI D W,CHEN T W,SHI L.An event-triggered approach to state estimation with multiple point and set-valued measurements[J].Automatica,2014,50(6):1641-1648.
[3] [3] BATTISTELLI G,BENAVOLI A,CHISCI L.Data-driven communication for state estimation with sensor networks[J].Automatica,2012,48(5):926-935.
[5] [5] MA J,SUN S L.Centralized fusion estimators for multi-sensor systems with random sensor delays,multiple packet dropouts and uncertain observations[J].IEEE Sensors Journal,2013,13(4):1228-1235.
[7] [7] SUH Y S,NGUYEN V H,RO Y S.Modified Kalman filter for networked monitoring systems employing a send-on-detla method[J].Automatica,2007,43(2):332-338.
[8] [8] LUO Y T,ZHU Y M,LUO D D,et al.Globally optimal multisensor distributed random parameter matrices Kalman filtering fusion with applications[J].Sensors,2008(12):8086-8103.
[9] [9] LIU M,YOU J,MA X C.H∞ filtering for sampled-data stochastic systems with limited capacity channel[J].Sig-nal Processing,2011,91(8):1826-1837.
[10] [10] SHEN B,WANG Z D,HUNG Y S.Distributed H∞-consensus filtering in sensor networks with multiple missing measurements:the finite-horizon case[J].Automatica,2010,46(10):1682-1688.
[11] [11] SOLOMON I S D,KNIGHT A J.Spatial processing of signals received by platform mounted sonar[J].IEEE Journal of Oceanic Engineering,2002,27(1):57-65.
[12] [12] YALCIN H,COLLINS R,HEBERT M.Background estimation under rapid gain change in thermal imagery[J].Computer Vision and Image Understanding,2007,106(2/3):148-161.
[13] [13] ZHOU D H,HE X,WANG Z D,et al.Leakage fault diagnosis for an internet-based three-tank system:an experimental study[J].IEEE Transactions on Control Systems Technology,2012,20(4):857-870.
[14] [14] LIU Y,HE X,WANG Z D,et al.Optimal filtering for networked systems with stochastic sensor gain degradation[J].Automatica,2014,50(5):1521-1525.
[17] [17] SUN S L,DENG Z L.Multi-sensor optimal information fusion Kalman filter[J].Automatica,2004,40(6):1017-1023.
[18] [18] DENG Z L,GAO Y,MAO L,et al.New approach to information fusion steady-state Kalman filtering[J].Automatica,2005,41(10):1695-1707.
[19] [19] TIAN T,SUN S L,LI N.Multi-sensor information fusion estimators for stochastic uncertain systems with correlated noises[J].Information Fusion,2016,27:126-137.
[20] [20] MATEI I,BARAS J S.Consensus-based linear distributed filtering[J].Automatica,2012,48(8):1776-1782.
[22] [22] SUN S L,XIE L H,XIAO W D,et al.Optimal filtering for systems with multiple packet dropouts[J].IEEE Transaction on Circuits and Systems,2008,55(7):695-699.
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WEI Ying-jun, ZHANG Fei. A Multi-sensor Fusion Estimating Approach for Stochastic Sensor Gain Degradation[J]. Electronics Optics & Control, 2018, 25(1): 44
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Received: Mar. 16, 2017
Accepted: --
Published Online: Jan. 30, 2018
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