使用SAS工具基于实测数据的指纹定位算法研究

With the fast growing of mobile Internet and LBS, GPS positioning has its limits, so cellular site positioning is becoming more and more important. Based on the study of the existing Fingerprint techniques, using the SAS statistical analysis tool, combined with the the Shijiazhuang drive test data, first create a fingerprint database, then use cluster analysis and classification discriminant function of SAS, perform a preliminary validation from two perspective--atitude and longitude and single base station BCCHLevel. Results show great promotion of precision comprared to the traditional RSS positioning. In the end, there're also suggestions about tuning the algorithms which includes Markov model, error diminishing, performance promoting, accuracy improvement.