Calibration Drift Detection
Calibration Drift Detection is a methodological framework in radar data quality control that identifies gradual deviations in radar reflectivity measurements from their true calibrated values over time, distinguishing itself from other quality control techniques through its focus on temporal instability in instrumental calibration.
18
Publications
625
Citations
78
Authors
29
Institutions
Publications per year
2017–2026
7
18
Blind Drift Calibration of Sensor Networks using Sparse Bayesian Learning
Yuzhi Wang, Anqi Yang, Zhan Li et al. · IEEE Sensors Journal · 2016 · 41 citations
1–5 of 18
78
2
h-index
2
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2
h-index
University at Albany, State University of New York, United States
1 publications · 22 citations
1
h-index
1
h-index
1–5 of 78
29
Tsinghua University
Beijing, China
2 h-index
10 publications
335 citations
University at Albany, State University of New York
Albany, United States
1 h-index
2 publications
44 citations
Carnegie Mellon University
Pittsburgh, United States
1 h-index
1 publications
41 citations
Pulmonary Associates
Phoenix, United States
1 h-index
1 publications
13 citations
Vanderbilt University Medical Center
Nashville, United States
1 h-index
5 publications
720 citations
Tokyo Institute of Technology
Tokyo, Japan
1 h-index
3 publications
39 citations
David Agmashenebeli University of Georgia
Tbilisi, Georgia
1 h-index
1 publications
13 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
2 publications
26 citations
1–8 of 29
1 publications · 32 citations
1
h-index
1 publications · 34 citations
1
h-index
1 publications · 41 citations
1
h-index
1 publications · 18 citations
1
h-index
AIM · 1 publications · 40 citations
1
h-index
1–5