Recursive Distributed Filtering for a Class of State-Saturated Systems With Fading Measurements and Quantization Effects
This paper is concerned with the distributed filtering problem over wireless sensor networks for a class of state-saturated systems subject to fading measurements and quantization effects. Each sensor node in the network communicates with its neighbors according to the network topology described by...
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| Published in | IEEE transactions on systems, man, and cybernetics. Systems Vol. 48; no. 6; pp. 930 - 941 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.06.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| Abstract | This paper is concerned with the distributed filtering problem over wireless sensor networks for a class of state-saturated systems subject to fading measurements and quantization effects. Each sensor node in the network communicates with its neighbors according to the network topology described by a directed graph. The fading phenomena of measurements are assumed to occur in a random way and the attenuation coefficients of the fading measurements are described by a set of random variables with known stochastic properties. By solving two sets of matrix difference equations, an upper bound for the filtering error covariance is presented. Subsequently, with the topology information of the sensor network, such an upper bound is minimized by properly designing the filter parameters. Moreover, the performance of the proposed filter is investigated through establishing sufficient conditions ensuring that the trace of the upper bound is bounded. The relationship between the filter performance and the mean of attenuation coefficient is also discussed. A numerical simulation is exploited to demonstrate the effectiveness of the proposed filtering method. |
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| AbstractList | This paper is concerned with the distributed filtering problem over wireless sensor networks for a class of state-saturated systems subject to fading measurements and quantization effects. Each sensor node in the network communicates with its neighbors according to the network topology described by a directed graph. The fading phenomena of measurements are assumed to occur in a random way and the attenuation coefficients of the fading measurements are described by a set of random variables with known stochastic properties. By solving two sets of matrix difference equations, an upper bound for the filtering error covariance is presented. Subsequently, with the topology information of the sensor network, such an upper bound is minimized by properly designing the filter parameters. Moreover, the performance of the proposed filter is investigated through establishing sufficient conditions ensuring that the trace of the upper bound is bounded. The relationship between the filter performance and the mean of attenuation coefficient is also discussed. A numerical simulation is exploited to demonstrate the effectiveness of the proposed filtering method. |
| Author | Alsaadi, Fuad E. Liu, Qinyuan Wang, Zidong Wen, Chuanbo |
| Author_xml | – sequence: 1 givenname: Chuanbo surname: Wen fullname: Wen, Chuanbo organization: College of Electrical Engineering, Shanghai Dianji University, Shanghai, China – sequence: 2 givenname: Zidong orcidid: 0000-0002-9576-7401 surname: Wang fullname: Wang, Zidong email: zidong.wang@brunel.ac.uk organization: College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China – sequence: 3 givenname: Qinyuan surname: Liu fullname: Liu, Qinyuan organization: Department of Automation, Tsinghua University, Beijing, China – sequence: 4 givenname: Fuad E. orcidid: 0000-0001-6420-3948 surname: Alsaadi fullname: Alsaadi, Fuad E. organization: Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia |
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| SubjectTerms | Attenuation coefficients Computer simulation Covariance Difference equations Distributed filters Error detection Fading Fading channels fading measurements Filtration Graph theory Measurement Network topologies Noise measurement Peer-to-peer computing Quantization (signal) quantization effects Random variables Remote sensors sensor networks Sensors state-saturated system Symmetric matrices Upper bound Upper bounds Wireless sensor networks |
| Title | Recursive Distributed Filtering for a Class of State-Saturated Systems With Fading Measurements and Quantization Effects |
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