Adaptive Indoor Position Studies Of High Dynamic Environment

In the modern life of information, people’s demand on indoor positioning isincreasing. Positioning application become more popular with mobile internet, butbecause of the diversity and variety of environment, it requirements the actual applicationability and position precision of the system higher. In the last ten years, there exist manypositioning system. Such as: GPS, GSM, infrared positioning, ultrasonic positioning,RFID, Bluetooth etc. But these systems have some limitations.At present all kinds of mobile terminal began to built-in wireless card, at the sametime, the idea of wireless city makes environment appeared enough wireless access points,this all are beneficial for Wi-Fi positioning. The method of Wi-Fi includes transmissionmodel and fingerprint. The transmission model is simple to calculate, but owe to indoorenvironment is complex, difficult to build accurately modeling, therefore positioningaccuracy is low. Based on fingerprint, such as KNN, SVM, MR, BP etc. although canrealize high precision, but not much think about the practical application, ignore thesamples of utilization rate.Therefore, Indoor positioning face two challenges. First, variety of Wi-Fienvironment, impact on the positioning accuracy direct. Secondly, although most of thefingerprint method, can greatly improve precision, but time-transference is very poor,namely after environmental changes, locating performance will be slowed sharply, itcan’t really put into practical application.Aiming at these problems, this paper puts forward a dynamic collaborative indoorlocating method based on multiple terminals of OSCOELM. The method use Wi-Fiinformation which provided by terminals for co-location of dynamic, and update sampleafter locating. Experimental results show that the method can not only realize highprecision positioning, but also can avoid repetitive calibration, beneficial to actualapplication.Particulary, without Wi-Fi or Wi-Fi paralysis (such as in the scene of fire),this paperalso put forward a indoor positioning way based on rotatable directional APs, only needtwo rotating directional AP, using the directional characteristics of the directional antenna,introduction of angle information, and the positioning problem is transformed into atrigonometric problem. The influence of environment in signal intensity is not related with positioning accuracy.The experimental results show that the proposed scheme can not only improve thepositioning precision, but convenient to practical application.At last, this paper also design a indoor positioning system.