摘要
提出了一种基于WI-FI的矿井人员精确定位新算法,介绍了定位系统结构及信号模型,给出了一种基站节点优先选择的方法,在此基础上通过对全交点质心定位算法的分析,给出了加权全交点质心定位算法。为进一步提高定位精度,对加权全交点质心定位算法进行改进,最终提出一种运用最大似然估计滤波法对RSSI值进行滤波优化的新算法。仿真实验结果表明,新算法提高了定位精度,具有可行性和优越性。
The paper puts forward a kind of new mine personnel accurate position algorithm based on WI - FI, and introduces position system structure and signal propagation model,and gives a base station node preference method. Based on this, through the analysis of tull intersection centroid localization algorithm, it gives full intersection weighted eentroid positioning algorithm. In order to further im- prove positioning accuracy, the full intersection weighted centroid positioning algorithm was improved, and the paper puts torward a kind of new algorithm by using maxinmm likelihood estimation filter to achieve the optimization filter of RSSI values. Simulation experimental results show that the new algorithm is feasibility and superiority,and improves the positioning accuracy.
出处
《煤矿安全》
CAS
北大核心
2013年第10期126-128,共3页
Safety in Coal Mines
关键词
WI-FI
定位精度
加权全交点质心算法
最大似然估计滤波
RSSI
WI - FI
positioning accuracy
weighted full intersection centroid algorithm
maximum likelihood estimation filter
RSS1