摘要
针对Wi-Fi定位技术中基本三边定位算法的测距模型参数不确定和定位计算误差大等问题,提出基于权值的参数实时更新定位算法。该算法首先按照基于区分度能力的信息增益方法选择三个最能反映待定位点信息的访问接入点AP,然后对测距模型进行实时获取参数的改进,最后对三边定位计算中的距离进行加权处理。实验表明,该定位算法能减小由环境因素和信号强度测量值引起的误差,与基本的三边定位算法相比,算法具有更高的定位精度。
Considering the fact that the range model parameters of basic Wi-Fi trilateration localization algorithm were uncertain and its positioning calculation errors were dramatic,this paper proposed a weight-based real-time parameter localization algorithm to ameliorate these issues. Firstly,it selected three APs which could best explain the information of object according to the information gain method based on degree of differentiation ability. Then,it improved the range model to acquire the parameters in a real-time way. Finally,it introduced the distance weights to the positioning calculation model. The experiment results show that the proposed WRPLA can reduce the error caused by surroundings and signal strength,it has higher positioning precision comparing with the basic trilateration localization algorithm.
出处
《计算机应用研究》
CSCD
北大核心
2014年第7期2164-2167,共4页
Application Research of Computers