Research Combined Positioning On Technology Under Complex Indoor Environment

With the development of positioning technology, the demand for indoor positioning services is also rising. Traditional outdoor positioning technology is more mature, but under the indoor environment accuracy of these positioning technologies can not meet the growing demand of positioning accuracy. Two improved combined positioning methods are proposed in this thesis to improve the accuracy of indoor positioning to meet the requirements of indoor positioning services.First, the background and the basics of positioning technology, common indoor positioning technology and indoor positioning methods are introduced in this thesis; then the research of Wireless Local Area Networks(WLAN) positioning technology, including two positioning algorithm of indoor signal propagation model and location fingerprint localization algorithm is completed, on the basis of Motley Keenan(MK)model and Weighted K Nearest Neighbors(WKNN)localization algorithm the combined positioning method between improved MK model and WKNN is proposed; and then the research of TD-LTE system positioning technology are done, Chan algorithm and Modified Probabilistic Data Association(MPDA) algorithm of Observed Time Difference of Arrive(OTDOA) localization algorithm is introduced, the combined positioning method between MPDA and improved WKNN is proposed; finally, simulation and analysis on these improved location algorithm are made.These two combined positioning methods improve the location accuracy of indoor positioning,reduce the positioning error, so they have certain significance for the accuracy location under complex indoor environment.