| With the development of information technology and the popularity of smart phones,location-based services are becoming more and more popular.In 1990 s,scholars from universities and research institutions began to study the indoor positioning technology.There is a large room for the improvement of indoor positioning technology since it is facing with many technical problems.The indoor positioning technology,which is based on WLAN(Wireless Local Area Networks,WLAN),costs less and is easy to realize so that it has become a research hotspot in recent years.In this paper,we firstly research the patents of this technology and analyze the status quo of exiting researches.Then,two kinds of indoor positioning simulation system based on RSS are designed by analyzing the research hotspot and positioning technology.What's more,we analyze its positioning performance.On the basis of the simulation system,the simulation verifies the positioning performance of the nearest neighbor algorithm,KNN algorithm and Naive Bayesian algorithm.The simulation results show that the KNN algorithm has high positioning accuracy and is easy to implement.However,we find that the KNN algorithm cannot accurately reflect the geometric position of the point to be determined and the reference point.In order to solve the problem,an improved KNN algorithm is proposed to verify the effectiveness of the algorithm.Finally,the improved KNN algorithm is used to design an indoor positioning simulation system based on iOS.Through the test,it is verified that the system meets the requirements of Location Based Services(LBS).The simulation results indicate that the improved KNN algorithm satisfies the requirements of the indoor positioning system in the positioning accuracy,positioning time and computational complexity.At the same time,the iOS system does not need additional equipment,and the clients only need to install the mobile phone software to make it simple to operate,which shows the high practical value of iOS system. |
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