复数神经网络在基于WiFi的室内LBS应用

Complex neural network application on indoor positioning LBS based on WiFi

传统的定位技术依靠GPS网络,其信号无法在室内正常工作,限制了室内LBS技术的发展。在基于RSS强度的指纹数据库定位方法之上,提出了采用复数BP结构进行指纹数据库构建于在线监测的方法。该方法提高了数据库的构建速度,可广泛应用于WiFi设施普及的大型商城、写字楼、医院、图书馆等公共室内场所,为精确信息推送提供新的思路。

Traditional location technologies depended on GPS network and failed to operate indoors,limiting the development of LBS technology.The method of complex BP neutral network was established based on RSS fingerprint database interpolation of online monitoring.The results showed that it improved the database conception rate and could be widely applied in public areas equipped with WiFi such as shopping malls,office buildings,hospitals,libraries.It provided a new idea of pushing the information more accurate.