Sequential fusion estimation for clustered sensor networks

Abstract We consider multi-sensor fusion estimation for clustered sensor networks. Both sequential measurement fusion and state fusion estimation methods are presented. It is shown that the proposed sequential fusion estimation methods achieve the same performance as the batch fusion one, but are more convenient to deal with asynchronous or delayed data since they are able to handle the data that are available sequentially. Moreover, the sequential measurement fusion method has lower computational complexity than the conventional sequential Kalman estimation and the measurement augmentation methods, while the sequential state fusion method is shown to have lower computational complexity than the batch state fusion one. Simulations of a target tracking system are presented to demonstrate the effectiveness of the proposed results.

[1]  Yingting Luo,et al.  Globally optimal distributed Kalman filtering fusion , 2012, Science China Information Sciences.

[2]  Huijun Gao,et al.  Distributed Filtering for a Class of Time-Varying Systems Over Sensor Networks With Quantization Errors and Successive Packet Dropouts , 2012, IEEE Transactions on Signal Processing.

[3]  Qin Chao-ying.  Study on multi-sensor track fusion algorithm with sequence disposal , 2010 .

[4]  Jeffrey K. Uhlmann,et al.  General Decentralized Data Fusion With Covariance Intersection (CI) , 2001 .

[5]  Karl Henrik Johansson,et al.  Sensor-network-based robust distributed control and estimation , 2013 .

[6]  Zhansheng Duan,et al.  Lossless Linear Transformation of Sensor Data for Distributed Estimation Fusion , 2011, IEEE Transactions on Signal Processing.

[7]  J. A. Roecker,et al.  Comparison of two-sensor tracking methods based on state vector fusion and measurement fusion , 1988 .

[8]  Yuanqing Xia,et al.  State estimation for a kind of non-uniform sampling dynamic system , 2013, Int. J. Syst. Sci..

[9]  Lale Akarun,et al.  A belief-based sequential fusion approach for fusing manual signs and non-manual signals , 2009, Pattern Recognit..

[10]  Yuanqing Xia,et al.  Networked Data Fusion With Packet Losses and Variable Delays , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[11]  Yuanqing Xia,et al.  Optimal sequential and distributed fusion for state estimation in cross-correlated noise , 2013, Autom..

[12]  Jiming Chen,et al.  Trapping Mobile Targets in Wireless Sensor Networks: An Energy-Efficient Perspective , 2013, IEEE Transactions on Vehicular Technology.

[13]  Yunmin Zhu,et al.  Optimal Kalman filtering fusion with cross-correlated sensor noises , 2007, Autom..

[14]  Donghua Zhou,et al.  Estimation Fusion with General Asynchronous Multi-Rate Sensors , 2010, IEEE Transactions on Aerospace and Electronic Systems.

[15]  Peng Zhang,et al.  Two-level Robust Measurement Fusion Kalman Filter for Clustering Sensor Networks , 2014 .

[16]  José M. F. Moura,et al.  Modeling of Future Cyber–Physical Energy Systems for Distributed Sensing and Control , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[17]  Lutz H.-J. Lampe,et al.  Distributed target tracking using signal strength measurements by a wireless sensor network , 2010, IEEE Journal on Selected Areas in Communications.

[18]  Yuanqing Xia,et al.  Modeling and estimation of asynchronous multirate multisensor system with unreliable measurements , 2015, IEEE Transactions on Aerospace and Electronic Systems.

[19]  Shuzhi Sam Ge,et al.  Cognitive Radio Based State Estimation in Cyber-Physical Systems , 2014, IEEE Journal on Selected Areas in Communications.

[20]  Deng Zili,et al.  On functional equivalence of two measurement fusion methods , 2006 .

[21]  Wen-An Zhang,et al.  Aperiodic Optimal Linear Estimation for Networked Systems With Communication Uncertainties , 2017, IEEE Transactions on Cybernetics.

[22]  Shu-Li Sun,et al.  Multi-sensor optimal information fusion Kalman filter , 2004, Autom..

[23]  Yuan Gao,et al.  Sequential covariance intersection fusion Kalman filter , 2012, Inf. Sci..

[24]  Donghua Zhou,et al.  Robust Fault Detection for Networked Systems with Distributed Sensors , 2011, IEEE Transactions on Aerospace and Electronic Systems.

[25]  Yuanqing Xia,et al.  Distributed Federated Kalman Filter Fusion Over Multi-Sensor Unreliable Networked Systems , 2016, IEEE Transactions on Circuits and Systems I: Regular Papers.

[26]  Wen-An Zhang,et al.  Hierarchical Fusion in Clustered Sensor Networks with Asynchronous Local Estimates , 2014, IEEE Signal Processing Letters.

[27]  Steven Liu,et al.  Fusion Estimation for Sensor Networks With Nonuniform Estimation Rates , 2014, IEEE Transactions on Circuits and Systems I: Regular Papers.