According to the credibility and importance for the observed results from different types of sensors,the measured data from multi-sensor after denoising are fused based on the data fusion algorithm of optimal weight distribution principle.

This paper summarizes data fusion progress in the last several decades,and introduces most used data fusion model,and analyzes several fusion arithmetic.

Then the advantages of existing data fusion models are synthesized and a kind of hybrid layered fusion structure is used to improve the accuracy and effectiveness of autonomous driving.

However,more studies are needed on a) estimation of residence time of C for passive soil organic matter,b) uncertainty analysis of input data and model structure and c) model-data fusion methods so as to improve the prediction accu-racy of terrestrial ecosystem models.

This paper introduced dimensional parameters and nondimensional parameters in time domain analysis,built multi-data fusion fault diagnosis system,which included data level fusion module,feature level fusion module and decision level data fusion module,adopted the neuronal networks to conquer the shortcoming of neural network and to solve the abuse of evidence theory which is difficult to gain BPA.

Based on the research of original prediction models,consideration of the real-time,precision and reliability and the ideal of data fusion,a multi-model predicted results fusion algorithm is put forward in this paper.