The application of multi sensor data fusion based on the improved BP neural network algorithm

In order to improve the accuracy of multi sensor data fusion, a new data fusion algorithm based on BP neural network is proposed, which can prevent the network from not convergence and improve the performance of the network. The calibration data is used as the experimental data which tested in the sensor integrated test stand with Pt100 temperature sensor. The simulation results show that the improved BP neural network for Pt100 temperature sensor data fusion has better accuracy of data fusion compared with the standard BP neural network. The proposed algorithm can be applied in multi-sensor data fusion.