Abstract
In order to improve the precision of distributed multi-sensors measurement and control system, a data fusion method based on global state correction is proposed. The measurement data of single sensor is smoothed and the reliability of measurement data is improved based on statistic analysis of measurement data of single sensor in distributed multi-sensors measurement and control system. The data weight distribution model of multi-sensors is built and the rationality of data fusion weight is improved based on the analysis of weight distribution influence on data fusion. Typical example is used to validate the proposed fusion algorithm, and the result shows that the fusion result is satisfying, and the algorithm has theoretical and practical significance.
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