Research Of Base-Station Position's Correction Base On Nearest Base Station Suggestion Method

With the rapid development of Internet technology,the mobile communication network has become an indispensable tool in people's lives and mobile base station equipment has played a role in the foundation and guarantee of it.However,due to the presence of changes of base station information,manual entry errors and other factors,resulting in some errors of the base station coordinate data.Therefore,the effective verification of the location of the mobile station has become the focus of attention.There are two steps to verify the location of the mobile station.Firstly,it finds out the base station which has the abnormal location-the wrong or the empty.Secondly,it modifies these base station-to correct the wrong or to fill the empty.The task combines some idea of outlier-detection algorithms and clustering algorithms in data mining,then applying it to the scene of verifying the location of the mobile station.Hoped to be able to establish an appropriate model on the base of people's temporal trajectory data and related algorithms,then we can get the corrected position coordinates of the mobile station by further analysis.For the problem that how to verify the location of the base station,firstly this paper regarded the abnormal location points as the outliers,then it researched a new outlier-detection algorithms which needs dividing the grids and calculating the membership probabilistic.Secondly,through the feature of the base station coverage,we analysis the positional relationship between the base stations and proposed the NBSS(Nearest Base Station Suggestion Method),then it added the thought of clustering algorithms and got the relationship between the mobile base station for further analysis.Finally,it achieved the purpose that the wrong has corrected and the empty has filled up.