Method of fusion for multi-sensor data based on entropy

Aimed at data fusion of multi-sensor experiment on some characteristic index,a new fusion method for multi-sensors data is brought forward by applying the entropy in the theory of information.The object function is gotten by minimizing the sum of all sensors' entropy,the fusion result is obtained by solving the extremum problem.The new method may avoid the relationship matrix influenced by subject factors,make full use of the data of experiment,and prevent the effective data from losing.The approach is simple and stable.It is used to improve the accuracy and anti-interference of intelligent instruments.