Grey prediction model based indoor and outdoor seamless positioning system and method

Abstract

The invention provides a grey prediction model based indoor and outdoor seamless positioning system and method. The system includes an outdoor GNSS module, an indoor WIFI positioning module, an indoorand outdoor seamless joint module and an electronic map display module, wherein output signal terminals of the outdoor GNSS module and the indoor WIFI positioning module are connected with an input signal terminal of the indoor and outdoor seamless joint module. An output signal terminal of the indoor and outdoor seamless joint module is connected with the electronic map display module. The system and method provided by the invention has advantages that a WiFi network can realize positioning in areas with high building density and in indoor areas, so that a defect of incapability of positioning in areas that cannot receive GNSS satellite signals can be made up and a positioning range is enlarged; positioning precision and equipment utilization rate can be improved through combination of the WiFi network and the GNSS module for positioning and no new equipment is required and cost can be reduced; and the gray predication model can perform comparatively accurate prediction based on a small quantity of points, so that data of WiFi positioning and data of GNSS positioning can be combined effectively under comparatively low calculation complexity.

Description

technical field [0001] The invention relates to an indoor and outdoor seamless positioning system and method based on a gray prediction model, and the related technologies include outdoor GNSS and indoor WIFI positioning technologies. Background technique [0002] Information technology promotes the development of science and technology. Today, people's acquisition, storage, and transmission of information have realized the networking of the world, and have strengthened their attention to location information. With the development of large indoor parking lot positioning and unmanned vehicles, the demand for indoor and outdoor seamless positioning technology has been increasing in the market in recent years. [0003] At present, according to different application scenarios, positioning can usually be divided into outdoor positioning and indoor positioning. The former relies on the communication between the satellite array and the ground base station, and the accuracy is very...

AI Technical Summary

Problems solved by technology

[0012] The purpose of the present invention is to provide an indoor and outdoor seamless positioning system and method based on a gray prediction model, which solves ...

Images