A High-Precision Collaboration Positioning Algorithm With Indoor Environment

In this paper, the actual indoor environment the effects of reflection, diffraction, partition loss and other interference factors between the mobile station (MT) and a base station (BS), aiming at actual indoor environment is researched. The algorithm proposed here consists of real-time environment parameter measure, pseudolite positioning technology and cooperative multiple positioning circles algorithm. In view of the problems, such as the interference between mobile nodes and fixed BSs, multiple linear regression is applied to measure the environment parameter in real-time to ensure the follow-up positioning accuracy. Against the problem that traditional pseudolite positioning technology may introduce near and far field effect, multipath or other issues when the distance between the users is too close. a new location algorithm with collaboration of multiple positioning circles based on pseudolite is proposed in this paper. Simulation result shows that the new algorithm can effectively improve the positioning accuracy of the indoor environment.