The output of pressure sensor is easily affected by non-objection parameters, such as environment temperatures, voltage fluctuation and so on, in the applications. BP algorithm is the steepest descent algorithm and an algorithm to improve its performance, LMBP algorithm overcomes the disadvantage of the standard BP algorithm and it has not only fast learning velocity, but also high accuracy. Using LMBP algorithm to fuse the output data of pressure sensor, it eliminates the affection of the non-objection parameters, especially, such as temperatures, to the pressure sensor. Then the MATLAB software is used to train and simulate the example data. Finally, the analyzed fusion results show that not only the accuracy of the pressure-sensor is improved, but also the stability and liability of the pressure sensors are improved.
Chinese Journal of Scientific Instrument