Research On Key Technology Of Fingerprint Positioning Based On WiFi Indoor Location

With the development of Internet technology,the progress of wireless communication technology and the mature of GPS,the attention of people for location service is gradually transferred from outdoor to indoor.It is well known that the GPS global positioning system(GPS)has brought much convenience for the people’s life.Due to the complexity of indoor environment,indoor positioning technology is not mature and many technical problems need to be solved and perfected.At present,the research on indoor positioning technology mainly includes special equipment and WIFI based.Because the WIFI environment is easy to set up,and there is no need to design other special equipments,and the cost is low,so it only needs to design relevant software to realize localization.Therefore,this paper studies the WIFI positioning method.Based on the WIFI environment,this paper uses the location fingerprint positioning theory as the guidance,and the key problems of WIFI fingerprint positioning are studied by the method of algorithm analysis and simulation experiment.The main work of the paper is as follows:First of all,the existing indoor positioning technology is introduced.By studying related theory of position fingerprint positioning,the advantages and disadvantages of various positioning technologies are compared and analyzed.Secondly,the influence of relevant factors on positioning accuracy is discussed,such as the characteristic distribution of WIFI signal strength,the abnormal change of WIFI equipment,and the orientation of the terminal equipment.By analyzing the limitations of the fingerprint localization algorithm,this paper proposes an indoor positioning algorithm based on kernel k-means clustering and support vector regression.The positioning regions are divided into many sections based the algorithm.Through establishing regression model in the small region,the generalization ability of unknown data is enhanced,the computational complexity is reduced,and the real-time performance is improved.Furthermore,based on the destructive effect of the abnormal change of WIFI device in the localization area,an adaptive anomaly AP sensed method is proposed.This method can be used to detect the AP information received by using special hardware devices in the positioning area and send it to the location server.The location server updates the fingerprint database based on the received information,and removes the immediately closed AP from the fingerprint library or adds the new AP.The method effectively solves the influence of AP change on fingerprint database and improves positioning accuracy.Finally,The validity of the proposed algorithm is verified by experiments.Compared with other algorithms,the advantages are analyzed and the disadvantages are pointed out.