In the process of testing electromagnetic environment

outliers in the data sheet always need to clean because of the burst interference occurring in the test environment.Consequently

we studied an automatic data cleaning method of electromagnetic environment with the outliers detection method based on the distance.Considering the test device

the characteristics of data statistics

and the physical characteristics of the electromagnetic environment

we redefined the method of calculating the spatial distance

and put forward the outlier detection clustering.The preprocessing of the electromagnetic environment test data was finished by this method.The results show that outliers have been cleared in the processed database

not changing the statistical features of the data

and the cleaned data are mainly considered as spatial outliers in each subclass.This algorithm can improve the reliability of measurement data.