Static Gravity Reference Vector Determination for Sensor Calibration
Static gravity reference determination requires site gravimetric surveying and arcsecond stage indexing to isolate true sensor bias from facility tilt errors.
Acceleration Vector Projection
Spatial Transformation
Mathematical operation mapping the magnitude and direction of a detected force onto a specific coordinate system allows for precise spatial orientation. The acceleration vector projection calculates the motion along a particular axis. This calculation relies on the cosine of the angle between the primary force and the sensor orientation.
Accuracy depends on the alignment of the internal proof mass.
Projection Method
Derived values provide a standard for resolving multi axis motion into linear components. Users apply acceleration vector projection to convert raw voltage outputs from orthogonal sensors into a unified acceleration value. This step requires a stable reference frame to avoid geometric errors.
Precise knowledge of the tilt angles ensures that the resulting data shows actual movement. Correct scaling is verified by checking the output against a known input at several different angles.
Alignment Correction
Deviations in the mounting surface introduce small errors that propagate through the trigonometric functions. The acceleration vector projection suffers when the physical sensor axes are not perfectly perpendicular. Calibration procedures often measure this non orthogonality to apply a correction factor.
Software routines then adjust the output to maintain a linear relationship between input and result. These adjustments are necessary for high precision navigation systems.
Reference Baseline
Terrestrial testing uses the constant pull of the earth to verify the scaling of the calculation. An acceleration vector projection at local gravity provides a baseline for sensitivity. Manufacturers establish these coefficients during final inspection.
The verified projection ensures that the instrument maintains its specified performance across its full dynamic range. Resulting data remains consistent regardless of the physical orientation of the device.