Design And Implementation Of Fusion Indoor Positioning Algorithm Based On Bluetooth And Wi-Fi

The need for location services from the outside to the indoors,driving the development of indoor positioning technology.With the development of mobile Internet and smart terminals,smart phones with Bluetooth and Wi-Fi functions are becoming more and more popular,making Wi-Fi and Bluetooth technologies more and more concerned by indoor positioning researchers.Wi-Fi location fingerprint positioning has been improved over the years,but there are still some problems to be solved.Firstly,the fingerprint positioning accuracy of Wi-Fi location is still low.Secondly,the fingerprint matching algorithm has a large amount of computation;Bluetooth positioning is susceptible to multipath effects and interference from cofrequency signals,resulting in low positioning accuracy.Aiming at the above problems,this paper first proposes a selection algorithm based on signal strength mean,variance and AP visibility,it is preferred to choose APs with large mean signal strength,small variance and high visibility for positioning,choose appropriate AP for positioning.Then a new Wi-Fi and Bluetooth fusion positioning method is proposed,a Bluetooth positioning area is determined by using Bluetooth positioning,and Wi-Fi fingerprint reference point located in the Bluetooth positioning area are selected to form new Wi-Fi fingerprint database,the Wi-Fi fingerprint library performs Wi-Fi fingerprint positioning.The experimental results show that the average positioning error of the Wi-Fi and Bluetooth fusion positioning method proposed in this paper is 2.04 m,and the 90% positioning error is within 3.06 m.Compared with the Bluetooth proximity method and Wi-Fi fusion positioning,the average positioning error is reduced 0.2m,90% of the positioning error is reduced by 0.3m.The number of fingerprint library reference points used in Wi-Fi and Bluetooth fusion positioning proposed in this paper is reduced to 20% to 40% of the original fingerprint database,which will reduce the calculation amount of the fingerprint matching algorithm.