Meaning
A systematic procedure used to populate and verify correction values stored in non-volatile memory to compensate for non-linearities in a sensor or signal path. Through lookup table calibration, discrete correction factors are assigned to specific input ranges to achieve a uniform system response across varying conditions. This method is widely deployed in power amplifiers and temperature-compensated crystal oscillators to correct for systematic distortion.
The stored coefficients are applied in real time by the digital signal processor.
Correction Scheme
The procedure involves sweeping the device through its full operating range while recording the deviation from the desired linear output. During lookup table calibration, these deviations are processed to generate the inverse correction profile required to neutralize the errors. The resulting table is written to the onboard flash memory of the module during the final production line step.
Memory Constraint
The density of the table determines the resolution of the correction but is limited by the available hardware memory. When lookup table calibration uses too many points, the increased memory footprint increases the unit manufacturing cost and boot load time. Hardware designers must select a table size that fits the hardware limits while maintaining the required precision.
Interpolation Accuracy
To minimize memory usage, the system often calculates intermediate values using linear or polynomial math between the stored points. When lookup table calibration is completed with a sparse dataset, the interpolation error must remain below the target noise floor. This ensures smooth control transitions.