Take a pressure sensor as an example

introduce an improved pressure calibration algorithm. Aiming at property that high temperature will have a great impact on sensor

and consider problems of complexity of the algorithm and operation of the processor

so use least square fitting plus cubic spline interpolation method in high temperature area

and in the low temperature region

use least square fitting and Newton interpolation algorithm to construct temperature compensation model. All data are operated and processed using 8051 processor. The experimental result shows that the improved algorithm model can eliminate temperature drift well

and the calibration error is within 0. 119 %

that meets the practical needs.