Distributed State Estimation over Sensor Networks with Sensor Resolution under Binary Encoding Scheme
In this paper, the distributed state estimation problem is investigated for a class of discrete time-varying nonlinear systems over sensor networks with sensor resolution, where a binary encoding scheme is employed to address bandwidth limitations. The measurement output is converted into a binary b...
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| Vydáno v: | 2025 7th International Conference on Next Generation Data-driven Networks (NGDN) s. 50 - 55 |
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06.06.2025
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| Abstract | In this paper, the distributed state estimation problem is investigated for a class of discrete time-varying nonlinear systems over sensor networks with sensor resolution, where a binary encoding scheme is employed to address bandwidth limitations. The measurement output is converted into a binary bit string, conveyed through a memoryless binary symmetric channel subject to a certain probability of bit flips, and then reconstructed by a decoder. The influence of both sensor resolution and binary encoding scheme on estimation accuracy is considered simultaneously, where a distributed recursive state estimation strategy over sensor networks is constructed. Subsequently, the estimator gain that minimizes the upper bound on the estimation error covariance is obtained by solving Riccati-like difference equations. Finally, the validity of the developed algorithm is displayed through a simulation example. |
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| AbstractList | In this paper, the distributed state estimation problem is investigated for a class of discrete time-varying nonlinear systems over sensor networks with sensor resolution, where a binary encoding scheme is employed to address bandwidth limitations. The measurement output is converted into a binary bit string, conveyed through a memoryless binary symmetric channel subject to a certain probability of bit flips, and then reconstructed by a decoder. The influence of both sensor resolution and binary encoding scheme on estimation accuracy is considered simultaneously, where a distributed recursive state estimation strategy over sensor networks is constructed. Subsequently, the estimator gain that minimizes the upper bound on the estimation error covariance is obtained by solving Riccati-like difference equations. Finally, the validity of the developed algorithm is displayed through a simulation example. |
| Author | Yang, Xiaolong Li, Jiaying Bi, Xinran Chen, Wen |
| Author_xml | – sequence: 1 givenname: Xiaolong surname: Yang fullname: Yang, Xiaolong email: 2320500017@stu.hrbust.edu.cn organization: Harbin University of Science and Technology,School of Automation,Harbin,China,150080 – sequence: 2 givenname: Wen surname: Chen fullname: Chen, Wen email: chenwen@hrbust.edu.cn organization: Harbin University of Science and Technology,School of Automation,Harbin,China,150080 – sequence: 3 givenname: Jiaying surname: Li fullname: Li, Jiaying email: 2420800030@stu.hrbust.edu.cn organization: Harbin University of Science and Technology,Department of Applied Mathematics,Harbin,China,150080 – sequence: 4 givenname: Xinran surname: Bi fullname: Bi, Xinran email: 2320800029@stu.hrbust.edu.cn organization: Harbin University of Science and Technology,Department of Applied Mathematics,Harbin,China,150080 |
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| Snippet | In this paper, the distributed state estimation problem is investigated for a class of discrete time-varying nonlinear systems over sensor networks with sensor... |
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| SubjectTerms | Bandwidth binary encoding scheme Decoding Difference equations distributed state estimation Encoding Estimation error Next generation networking Nonlinear systems sensor networks sensor resolution State estimation Time-varying systems Upper bound |
| Title | Distributed State Estimation over Sensor Networks with Sensor Resolution under Binary Encoding Scheme |
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