基于RSS典型性判定的室内定位算法研究

在基于RSS指纹集的定位算法中，相似样本集的质量，是影响定位精度的一个关键性因素；而待定位点的RSS向量，则是影响相似样本点质量的一个重要元素。通过对D-RSS分布规律分析，提出了RSS典型性的概念，并且提出了基于RSS典型性判定的室内定位算法。该算法根据RSS的典型性特征与有效的相似样本点之间的关系，提出了RSS典型性的辨别方法以及与典型性相关的动态K值。通过实验证明，该算法不仅能完整地找出有效的相似样本点，排除非实质性相似点的干扰，而且在不同的定位场景中具有较强的适应性，同时具有较高的定位精度。

Indoor positioning algorithm research based on the typicality judgment of RSS

In the process of indoor location based on RSS fingerprint,the quality of the obtained similar point set is a key factor for a successful position.And the locating point’s RSS is an important reason which affects the quality of the similar point set.By analyzing the distribution of D-RSS,the concept of RSS’s typicality was proposed firstly,and an indoor localization algorithm based on typicality judgment of RSS was also presented.According to the principle that the RSS values and the effective similar sample points,a typicality discrimination method for RSS values and a self-adapting K value were presented.Confirmed by the experiments,the algorithm not only can find the effective similarity sample points completely,but also can eliminate the non-substantive similarities points,and then can adapt to the different scenes,then have the higher positioning accuracy.