Research On Clustering Filter Location Algorithm Based On WIFI Signal Characteristics

With the rapid development of mobile Internet and the rapid popularization of mobile intelligent terminals,WiFi network has penetrated into people's life and work to provide convenient online services for people.At the same time,the location service of indoor garage based on WiFi technology attracts people's attention and favor because of its low cost,high positioning accuracy and prominent commercial value,and quickly becomes a research hotspot.The main works of this paper are as follows:1.Based on the research and analysis of indoor garage location technology based on WiFi,aiming at the difficult problem of establishing fingerprint database quickly in traditional indoor fingerprint location,this paper puts forward the control of automatic cruise car to identify the parking space,spray the two-dimensional code corresponding to parking space,and quickly establish the two-dimensional code when the car cruises in the garage for many times.The scheme of fingerprint database.2.Aiming at the problem that traditional WiFi fingerprint matching algorithms need to match a large number of fingerprint data and the speed of fingerprint location is difficult to improve,this paper designs a clustering filtering fingerprint location algorithm based on WiFi signal features,which can effectively reduce the location time without changing the positioning accuracy,and verifies the algorithm through experiments.The validity and feasibility of the proposed algorithm are analyzed.Compared with the traditional location matching algorithm,its positioning performance is superior.It is concluded that the proposed algorithm can effectively reduce the computation and complexity in the matching process while maintaining the same positioning accuracy.Aiming at the problem of establishing fast fingerprint database,this paper puts forward the design of fingerprint database and collision avoidance mechanism of cruise car.At the same time,this paper designs and implements a fingerprint location algorithm based on clustering filtering,which is the main innovation.In the actual indoor garage WiFi environment,deploy a number of positioning AP,collect and establish fingerprint database,randomly select positioning test points,through experimental software verification,get effective positioning results,and analyze the positioning performance of clustering filtering fingerprint positioning algorithm.Experimental results show that,compared with the traditional two localization algorithms,the clustered filtering fingerprint localization algorithm in this paper can effectively reduce the amount of calculation in the localization process and reduce the complexity of calculation without changing the positioning accuracy,and verify the feasibility and effectiveness of the algorithm.