Numeric Architecture
A mathematical processing scheme converts raw sensor digital counts into calibrated engineering units using integer arithmetic without floating-point hardware overhead. Embedded microcontrollers execute fixed point compensation algorithm routines to evaluate calibration equations within strict deterministic timing constraints. The computational method scales sensor coefficients by binary shift factors, maintaining arithmetic precision while conserving processor instruction cycles.
High-resolution analog-to-digital converters pass uncorrected output registers to the math module, where deterministic bit shifts replace computationally expensive division operations.
Polynomial Evaluation
Multi-order correction formulas calculate offset and temperature dependency across the operational envelope. Implementation of a fixed point compensation algorithm relies on pre-calculated lookup tables combined with linear interpolation to resolve non-linear sensor drift. Matrix multiplication steps scale sensor gains according to stored factory calibration values.
Bitwise shifting preserves dynamic range without introducing floating-point register overflow.
Quantization Boundary
Truncation errors occur when fractional intermediate values fall below the least significant bit threshold. Fixed point math inherently rounds calculated results, creating discrete step jumps in the corrected signal output.
Calibration Coefficient
Metrological traceability depends on the precision of coefficients stored in non-volatile memory during factory testing. Test benches verify the algorithm against precision voltage standards to confirm output accuracy. Verification procedures evaluate residual error across the full working range to ensure bounds set by quality managers remain intact.
