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Because of the sensor or environment problem, the multi-sensor detection data can result in data mutation for the individual sensor. To obtain consistent, stable and accurate tested target description, the paper adopts confidence dis- tance matrix, distance correlation coefficient and p-value significant test to get The number of optimal fusion number of multi-sensor, and uses maximum likelihood estimation to study the multi-sensor data fusion. The results show that the al- gorithm mentioned by the paper is superior to the multi-sensor consistency data fusion means and is fairly practical. Keyword: Confidence distance, correlation coefficient, maximum likelihood estimation, p-value test, support.

Research of Data Fusion Method of Multi-Sensor Based on Correlation Coefficient of Confidence Distance