A Highly Robust Indoor Location Method Based On Multiple Wi-Fi

With the rapid development of mobile Internet,indoor positioning technology has also been developed.The global positioning system(GPS)which can provide location-based service(LBS)has developed very well,and has been applied in many fields such as transportation,agriculture,military and so on.However,due to the serious attenuation of GPS signal indoor,it cannot be applied to the field of indoor positioning.Therefore,it is of great practical significance to find a suitable signal and achieve high-precision indoor positioning.With the popularity of Wi-Fi network,Wi-Fi devices can be seen everywhere in most indoor places such as shopping malls and families.Because of its low cost,high universality,Wi-Fi is often used in indoor positioning methods.At the same time,channel state information(CSI)can be extracted from Wi-Fi signal,which shows better performance than received signal strength indication(RSSI)applied in traditional methods.CSI can show more fine-grained information.In this paper,a high robust location method based on area segmentation is proposed,which can achieve high accuracy and high robustness at the same time.The angle of arrival(Ao A)can be obtained which are used as input and performing super-resolution multiple signal classification algorithm(MUSIC).But after a large number of experiments,we found that the instability of Ao A error makes the performance of the positioning system reach the bottleneck,so we consider whether we can use the Ao A value with error to locate.Instead of using the accurate Ao A directly,the location method proposed in this paper only determines the range of the value,which can achieve a ‘cut' of the location area.Then we use effective CSI(ECSI)to‘cut' the area again.The main idea of this scheme is to make use of the redundancy of the network access point(AP)in exchange for the robustness of the system.Before the completion of the experiment,the program experiment and theoretical analysis are carried out.The experiment proves the influence of AP placement mode on the system,and the optimal placement mode is obtained.We also prove the rationality of the simulation algorithm through theoretical derivation,which plays a key role in the subsequent practical experiments.This paper also extends the positioning method from two-dimensional space to three-dimensional space.After the complexity analysis,this paper proposes an indoor positioning method based on area segmentation,shows the simulation results.The simulation results are shown,and the influence of AP number on the theoretical error is discussed.