Received signal strength（RSS） fingerprinting is widely used in the indoor localization technology.The RSS finger mode localization algorithm is put forward to use in the complex underground mine environment. Through the information of electromagnetic environment

the collected information is processed

the larger three probability position is estimated using Bayesian formula method

and the location is estimated using Euclidean distance of the nearest formula.By the statistical analysis on experiment data

the simulation results show that the localization precision of the advanced algorithm based on RSS fingerprinting is better than the K nearest algorithm

and its performance is superior.