TY - JOUR
T1 - Bridging the gap between sensor noise modeling and sensor characterization
AU - Jerath, Kshitij
AU - Brennan, Sean
AU - Lagoa, Constantino
N1 - Funding Information:
Part of this work was performed with the help of funding provided by the Federal Highway Administration under the Exploratory Advanced Research Program (FHWA BAA DTFH61-09-R-00004 ) on the project titled ‘Next Generation Vehicle Positioning Techniques for GPS-degraded Environments to Support Vehicle Safety and Automation Systems’.
PY - 2018/2
Y1 - 2018/2
N2 - In prior works, the tasks of noise modeling and sensor characterization have typically been studied independently of each other. In spite of extensive research on noise modeling and sensor characterization, there still exists a need to bridge the gap between parameters used in sensor noise models, and quantities used to characterize commercially available sensors. The included work addresses this need by presenting tutorial-style exemplary analyses that relate noise model parameters to sensor characteristics for some common noise types found in sensors. Specifically, this work seeks to demonstrate that sensor noise characterization techniques can be applied to simulated sensor noise data to recover the original noise model parameters. The presented relationships between noise models and sensor characterization tools can help engineers and scientists numerically verify the expected performance bounds of their systems using simulated signals from commercially available sensors. Moreover, these numerical tools can also guide design engineers towards developing or selecting sensors with specifications especially suited to the design constraints of a given application.
AB - In prior works, the tasks of noise modeling and sensor characterization have typically been studied independently of each other. In spite of extensive research on noise modeling and sensor characterization, there still exists a need to bridge the gap between parameters used in sensor noise models, and quantities used to characterize commercially available sensors. The included work addresses this need by presenting tutorial-style exemplary analyses that relate noise model parameters to sensor characteristics for some common noise types found in sensors. Specifically, this work seeks to demonstrate that sensor noise characterization techniques can be applied to simulated sensor noise data to recover the original noise model parameters. The presented relationships between noise models and sensor characterization tools can help engineers and scientists numerically verify the expected performance bounds of their systems using simulated signals from commercially available sensors. Moreover, these numerical tools can also guide design engineers towards developing or selecting sensors with specifications especially suited to the design constraints of a given application.
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U2 - 10.1016/j.measurement.2017.09.012
DO - 10.1016/j.measurement.2017.09.012
M3 - Article
AN - SCOPUS:85034777434
SN - 0263-2241
VL - 116
SP - 350
EP - 366
JO - Measurement: Journal of the International Measurement Confederation
JF - Measurement: Journal of the International Measurement Confederation
ER -