Trapped People Location Algorithm Research Using WiFi Technology At Ruins Environment After Earthquake

In the era of mobile Internet WiFi technology continues to develop.WiFi in our lives and work to play an increasingly important role,while the relationship between people and mobile phones are getting closer.This provides a basis for post-disaster detection of mobile phones and indirect search of mobile phone owners.Currently used for post-disaster and other special circumstances of the WiFi positioning technology research at home and abroad less.After the earthquake.the mobile phone WiFi positioning of the study is almost a blank.Especially the large area of the ruins of the use of mobile phone WiFi detection positioning trapped personnel technology is very scarce.Therefore,this article relies on the national science and technology to support the sub-topic "urban earthquake disaster trapped personnel detection technology research".Mainly for the large area of the ruins of the post-earthquake.Implementation of the study on WiFi positioning of embedded mobile phones.Based on the existing wireless location technology.The wireless location technology of WiFi hotspot in large area environment.The wireless positioning technology of distance RSSI and the distance determination technology independent of distance are studied respectively.This paper first studies the layout of WiFi hotspot equipment in large area environment.Introduces the site structure of ruins,and puts forward the prototype of WiFi hotspot equipment.Then,the wireless location technology of RSSI related to distance is studied in this paper,and analyzes the signal attenuation model from the signal propagation to the positioning process.The paper studies the three filtering algorithms of recursive average filtering.Kalman filtering and Gaussian filtering.and Kalman filter algorithm is used as an effective filtering method for the detection of ruins.According to the current mainstream wireless positioning technology.The comparative triangulation algorithm.the least squares algorithm.the Taylor series method,and analyzed the adaptation relationship of these three algorithms by Monte Carlo.At the end of this paper,we study the statistical decision positioning technology independent of distance.Firstly,the ideal "Jiugongge" localization algorithm is analyzed,and the positioning method is put forward by using the statistical idea,and then the positioning method of the non-ideal "Jiugongge" WiFi hotspot equipment.The study proposed two ways to distinguish between ground and buried mobile phone.Respectively,cluster analysis algorithm and the triangle area of the mobile phone identification method.Simulation experiments show that the method of discriminating the triangle area is very effective.Then,according to the actual situation.The author has made a little improvement to the existing centroid localization algorithm.And provided an improved weighted centroid localization algorithm suitable for detecting the position of the buried mobile phone under the ruins.Finally,the simulation proves the validity of the algorithm.This method can provide effective technical means for the investigation of the trapped personnel in the large area ruins.It provides the potential possibility to solve the problem of locating the burial personnel in the earthquake rescue.The method has the potential to study the national disaster prevention and relief work.Big practical significance...