基于最小传播误差的室内定位方法研究

Minimized Error Propagation Location Method Based on Error Estimation

位置感知已经成为移动互联网应用最受欢迎的领域之一。通常,最大似然估计(MLE)方法可用于预测未知节点的位置。但是,当通信范围内锚节点的数量较少时,传统的定位方法很难达到理想效果。因此,提出了一种基于误差估计的最小化误差传播定位方法(MEPLE),通过选择有价值的邻居(锚节点和规则节点)来估计位置。仿真结果表明,该方法在总体上优于MLE,特别是当锚节点数相对较小的情况下,比如10~20之间,平均可以减少50-80%的估计误差。

Location awareness has become one of the most popular areas for mobile internet applications. Normally, themethod of maximum likelihood estimation （MLE） can be used to estimate the position of the unknown nodes. However, whenthe number of anchor nodes is small within the communication range, the traditional methods cannot work very well. This pa-per provides a novel location approach to estimate the position by selecting valuable neighbors （ both anchor and regularnodes） with Minimized Error Propagation Location method based on Error estimation （MEPLE）. The simulation results showthat the MEPLE outperforms the MLE overall, especially when the number of anchor nodes is relatively small such as be-tween 10 and 20, MEPLE can reduce 50-80% estimation error on average.