Title | ||
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A general packet dropout compensation framework for optimal prior filter of networked multi-sensor systems. |
Abstract | ||
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• A new compensation framework for packet dropouts is presented.• Centralized fusion prior filters with different compensation factors are presented.• Distributed fusion prior filters with different compensation factors are presented.• Stability and steady-state property of the proposed CFPFs and DFPFs are analyzed.• Comparison of the proposed and the existing compensation mechanisms is provided. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.inffus.2018.01.004 | Information Fusion |
Keywords | Field | DocType |
Optimal filter,Packet dropout,Compensation,Networked system,Multi-sensor system | Minimum-variance unbiased estimator,Weighting,Network packet,Fusion,Algorithm,Artificial intelligence,Mathematics,Machine learning | Journal |
Volume | ISSN | Citations |
45 | 1566-2535 | 2 |
PageRank | References | Authors |
0.37 | 17 | 2 |