A measurement and time series model for inference on accelerometer data using the Wigner-Ville distribution

To design measurement systems, appropriate data models and measurement models need to be defined, which can be used for instrument calibration. Data and measurement models using the Wigner-Ville distribution are proposed for measurement of events on vehicular accelerometer data, which is a self-similar non-stationary random process. Model variables and parameters are defined which can be chosen to optimize the likelihood of evidence on measured events. Data model based instrument calibration for event measurement will be useful for designing measurement instruments for vehicular systems.