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Optimized Distributed Filtering for Saturated Systems With Amplify-and-Forward Relays Over Sensor Networks: A Dynamic
IEEE Transactions on Neural Networks and Learning Systems
|September 6, 2023
Summary
This study develops a new distributed filtering method using dynamic event-triggered mechanisms for saturated systems with amplify-and-forward relays. The approach optimizes signal transmission and reduces communication load for enhanced filtering performance.
Area of Science:
- Control Systems Engineering
- Signal Processing
- Networked Systems
Background:
- Distributed filtering is crucial for networked systems, but communication constraints and system saturation pose challenges.
- Amplify-and-forward (AF) relays extend signal transmission range but introduce complexities in power management and data integrity.
- Dynamic event-triggered mechanisms (DETM) are essential for reducing communication overhead and preventing data collisions in distributed systems.
Purpose of the Study:
- To address the optimized distributed filtering problem for saturated systems incorporating AF relays.
- To develop a DETM for efficient and reliable data transmission scheduling between sensors and filters.
- To minimize filtering error covariance while managing communication burdens.
Main Methods:
- Utilizing amplify-and-forward (AF) relays to extend signal transmission distances.
- Implementing a dynamic event-triggered mechanism (DETM) to optimize data transmission scheduling.
- Deriving an upper bound matrix (UBM) for filtering error (FE) covariance under variance constraints.
- Constructing an optimal filter gain by minimizing the proposed UBM.
- Evaluating the boundedness of the UBM trace.
Main Results:
- An upper bound matrix (UBM) for filtering error covariance was successfully derived.
- A novel filter gain was constructed by minimizing the UBM, ensuring optimal performance.
- The boundedness of the UBM trace was rigorously evaluated.
- Simulation results validated the effectiveness of the developed distributed recursive filtering scheme.
Conclusions:
- The proposed distributed recursive filtering scheme effectively manages saturated systems with AF relays.
- The DETM significantly alleviates communication burden and prevents data collisions.
- The developed method ensures robust filtering performance in networked systems with transmission constraints.
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