Application And Research Of Indoor Cooperative Positioning

In recent years, with the rapid development of mobile network technology, mobile applications have emerged more and more, and these applications have facilitated people's daily lives. And at the same time,people's demands for location, navigation and other location-based services are also rapidly increasing. At present, systems like the Global Positioning System, Beidou satellite navigation system can take great convenience for people to travel outdoors and so. However, in the indoor environments ,such as large supermarkets and underground car parks,these traditional positioning techniques can not be applied indoors,which makes the indoor positioning become the focus and hotspot in related fields.This paper first introduces the significance and background of the research, and explains the structure of the paper. Then this paper classifies the research and analysis of the positioning technology, after the WIFI indoor positioning technology are introduced, and focuses on the research and analysis of the indoor positioning technology based on RSSI fingerprint, RSSI fingerprint based indoor positioning is based on the current mainstream method of WIFI signal intensity of indoor positioning.The factors that affect the intensity of WIFI signal in the room are studied and analyzed. In this paper, we also design and implement the RSSI fingerprint indoor positioning system server.Based on the RSSI fingerprint indoor localization method is divided into two steps, namely the construction of offline WIFI signal strength fingerprint database and online location matching. At present, the main method of fingerprint database construction is to build the fingerprint database directly after the sampled data of signal intensity, so that the density of sampling points determines the positioning accuracy. Therefore,if we want to obtain the ideal positioning effect, we need to collect a large number of sample data to form a dense set of samples, and it will cost a lot of manpower, resulting in the construction of fingerprint database is inefficient. How to construct the RSSI fingerprint database, according to the recovery of low rank matrix theory, this paper proposes a method for the rapid construction of fingerprint database of low rank matrix based on the design and implementation of signal acquisition based on Android's client, and verified using the collected data and MATLAB simulation.Finally, this paper presents a method of indoor cooperative localization based on multi terminal. In the RSSI based fingerprint positioning system, using the position information of the terminal location is known as the anchor node system, determine the anchor nodes and the measured point of the straight line distance using the wireless propagation model, and then use the three sides to determine the position of the measuring points location, the relationship between the measured position, to coordinate position optimization. Finally, the experimental data are compared and analyzed.