| Location-Based Services (LBS) became widespread penetration in various different fields. Thus making the study of positioning technology has been widespread concern. Due to the wide coverage of cellular networks, so the use of cellular network positioning data more cheaply. However, the present cellular network positioning technology accuracy is not high enough, so the research has practical significance for cellular location technology.The subject of this thesis is involved in enterprise projects in cooperation with Huawei Shanghai Research Institute. The purpose is based on the three-dimensional electronic map and a small amount of test data to achieve positioning different business hot spots. And implement the system to reach the optimization purpose of network resources.Fingerprint positioning technology has been widely used in the wireless network environment. This method does not require auxiliary additional technical infrastructure, and with good results in a complex environment. The main method of this study is based on the mobile terminal cellular network signal strength fingerprinting positioning technology. This paper describes a complete indoor and outdoor distinguish within the project in two stages, offline fingerprint construction phase and online positioning phase. Offline fingerprint construction phase introduces three-dimensional ray tracing model based construction method, and online distinguish phase described from samples selecting, matching rules and algorithms and so on.This article from the offline fingerprint database structure optimization perspective, based on three-dimensional digital map using a reverse ray tracing model to construct a uniform fingerprint on city level, saving the traditional fingerprint database construction resource consumption. This paper also proposes a new algorithm distinction between indoor and outdoor positioning based on cellular network signal data. |
