WLAN Indoor Positioning Algorithm And Location Service System Based On Signal Feature Extraction

With the development of science and technology,people's work,lifestyle also will be changed.In recent years,with the rapid development of wireless communication technology,Wireless LAN is almost global and becoming an indispensable part of people's daily life.People can access the Internet with mobile phones,tablet,laptop and other electronic equipment,whenever and wherever possible,then the society entered the era of mobile Internet.Because real-time and accurate access to location information is the basis for high-quality location services,people have higher expectations for location-based services.The existing global positioning system(GPS)can achieve a more accurate positioning outdoors.But it obtains a poor positioning result because of the building block,complex and varied environment indoors,which can't meet the people's demand.Therefore,the development of indoor positioning technology has attracted much attention,especially,the indoor localization based on the WLAN,which stands out and becomes a research hotspot.The location fingerprint algorithm in WLAN indoor positioning technology has the advantages of high positioning accuracy and low cost,which has a wide range of application prospects.This paper is based on the position fingerprint algorithm.First of all,through the classical positioning algorithm,the simulation experiment is carried out to analyze the performance of each algorithm.Secondly,for reducing the workload and improving the positioning of real-time,kernel fuzzy clustering algorithm(KFCM)is proposed to cluster the RSS data and divide the positioning area into smaller regions.At the same time for reducing the impact of time-variability of RSS for the positioning accuracy,the independent component analysis(ICA)and kernel typical correlation(KCCA)are used to fix the effect.ICA is used to extract the RSS signal's independent component,and KCCA is used to extract the typical characteristic between RSS signal and coordinate.Then the traditional positioning matching algorithm is used to locate.Finally the experimental results show that the proposed method can improve the positioning accuracy of the traditional positioning algorithm while reducing the workload.At last,on the basis of this study results,with a variety of positioning technologies to create a position service system based on Android platform according to project requirements.The platform combined with the map and algorithm,to provide real-time location,location display,information push and other services.Practice shows that the system can provide users with a good experience.