The design and implementation of Matlab-based nonlinear data fitting for infrared sensors

Infrared range measurement has important applications in industrial robotics and automation, but the accuracy needs to be improved in the traditional design scheme. Therefore, in this design, the function methods such as polynomial least squares fitting and nonlinear least squares fitting are written based on Matlab platform to solve the transfer function of the experimentally measured data, and the data conversion and processing in the microcontroller improves the measurement accuracy of the system.