A Kind of Localization Algorithm Based on Driver Test Data

In this paper, we analyze several existing problems in the cellular radio network performance comparative analyses due to information barrier inter mobile operators. We propose an improved LEE propagation model to get more accurate prediction by collecting the massive driver test data for the correction factors’ scientific computing within fine-granularity testing area. The new sliding aggregation window and the geometric Barycenter algorithms proposed in this paper are used to locate the base stations of competitor’s networks more accurately.