动态环境中的WiFi指纹自适应室内定位方法?

针对传统的基于WIFI信号的室内定位方法难以有效解决环境动态变化对RSSI值的影响问题，设计并实现了一种基于WIFI射频信号强度指纹的室内定位方法。该方法通过采用一种基于用户使用状况与布置定位参考点的方法来动态更新系统的WIFI指纹数据库，从而有效降低了在实际使用过程中用户手持手机的方向、用户的身体遮挡以及使用环境的动态变化对RSSI值所带来的影响。实验结果表明，本文设计并实现的定位方法比传统定位方法更稳定、易维护，同时也具有更高的定位精度和自适应性。

WiFi Fingerprint Based Self-Adaptive Indoor localization in The Dynamic Environment

Aiming at solve the problem that traditional indoor positioning methods based on WIFI cannot eliminate the impacts to RSSI caused by dynamic variation of the environment effectively,this paper proposes a new indoor positioning system which is based on WIFI fingerprint. This new system adopts a new method based on the Usage of People(UOP)and deployment of Reference Point Tags(RPT)to update the database of WIFI fingerprints dynami-cally,and the impacts to RSSI caused by different orientation of mobiles,the user’s body,and dynamical changes of the environment in actual use process are declined effectively. The simulation results show that,comparing with tra-ditional indoor positioning methods,the new indoor positioning methods proposed in this paper is more stable,easier to maintain,and simultaneously,has better positioning accuracy and adaptation.