Reducing Nonlinear Accelerometer Calibration Data Using an on-Line Digital Computer.
Abstract
The report describes the analytic and computational procedures used with the flotation technique of calibrating low-level accelerometers in the laboratory. The system parameters are estimated from the calibration data using the classical least-squares method. The variance of the estimated parameters is a function of the independent variables. An algorithm is described with which the computer can direct the experimenter to take data that will almost minimize the sum of the parameter variances. Three different accelerometers were calibrated on the test facility. This experience gave a very useful evaluation of the hardware, the models, and the computational methods. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 01, 1970
- Accession Number
- AD0880937
Entities
People
- James W. Patmore
Organizations
- Stanford University