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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Bibliographic Details
Published in:2025 7th International Conference on Next Generation Data-driven Networks (NGDN) pp. 50 - 55
Main Authors: Yang, Xiaolong, Chen, Wen, Li, Jiaying, Bi, Xinran
Format: Conference Proceeding
Language:English
Published: IEEE 06.06.2025
Subjects:
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
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Summary: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.
DOI:10.1109/NGDN66208.2025.11182141