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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 distance
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 algorithm
mentioned by the paper is superior to the multi-sensor consistency data fusion means and is fairly practical.