Research On 3G/LTE Mobile Terminal Loclization Techniques And Loclization System Design Based On Cloud Platform

With the rapid development of mobile communication technology, the demand for positioning accuracy of LBS(Location Based Service) is increasing. Due to the various shortcomings of general localization technology, such as GPS, A-GPS in locating mobile terminal in urban environments, the localization technology based on fingerprint position location is widely recognized and researched with its unique advantage in urban environments. With the rapid development of Android system and mobile Internet based on 3G/LTE, more and more smart phones are used to socialize, do shopping and many other activities, which demands higher performance of mobile phones. However, smart terminal has weaker ability of data processing and smaller storage space compared with PC. Cloud computing can immigrate the computation from mobile terminal to the server to carry out, which can speed up the application process and provide more efficient service for users. Based on the detailed analysis of common fingerprint position location algorithms, an improved method is proposed, and an Android mobile terminal positioning system based cloud platform under 3G/LTE networks is implemented in this thesis.First of all, we’ve found that fingerprint position location has many advantages using in the 3G/LTE network by reviewing and studying a large number of materials about cellular network positioning system. Hence,A network architecture that have fingerprint position location function based on particular 3G/LTE network is designed for mobile network operators and also the positioning process has been designed.Secondly, simulations and comparative studies of the common fingerprint localization algorithm NN, KNN, WKNN and Bayes algorithm are conducted under different parameters and environments, which indicate that the performance of WKNN algorithm is best. Hence, an improved method is proposed in this paper. Comparative simulation analysis shows that the locating accuracy of the improved method has greatly improved and the workload is less. So the improved positioning algorithm to calculate the received signal intensity of vector correlation coefficient based on Strongest-base filtration is adopted to in the localization system as matching algorithm.The overall architecture and various functional modules of the system are designed by combining the characteristics of the Android system and Hadoop cloud platform after detailed analysis of the system requirements.Various functions are realized combined with mobile and server-side design, including database, data collection in offline phase, the set up of Hadoop cluster in server, client locating and so on.Finally, according to the fingerprint position location system principle and functions implemented in the mobile terminal, a set of test programs are designed under the 3G/LTE network environments. Test results show that the mobile terminal has higher locating accuracy under the 3G/LTE network in the urban environment, and the desired purposes of system design is achieved.