Research of Data Fusion Method of Multi-Sensor Based on Correlation Coefficient of Confidence Distance
Xinhua Jiang, Heru Xue, Chen Wang, Yanqing Zhou · The Open Cybernetics & Systemics Journal · 2015
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.