一种改进的RSSI加权质心定位算法

An improved weighted centroid indoor positioning algorithm based on RSSI

针对现有加权质心定位算法易受环境因素影响、权重确定不合理导致的室内定位精度低的问题,该文提出了一种基于RSSI的改进加权质心定位算法,该方法在原算法基础上对权重的确定进行了改进,以RSSI值解算的距离值的倒数和作为权重,有效降低了较远距离在权值中所占的比重,提高了室内定位精度;针对权值修正系数n的取值对定位精度的影响,通过实例得出n=6时定位精度最高的结论,同时证明了本文算法优于现有的质心定位算法及加权质心定位算法。本文算法降低了室内复杂环境因素的影响,提高了利用无线传感网络的定位精度,可为智慧城市、智能交通、矿井及灾害救援等领域精确的位置估计提供帮助。

Aiming at the problem that the existing algorithm was susceptible to environmental factors and unreasonable weight proportion,which could lead to poor positioning accuracy,an improved weighted centroid location algorithm based on RSSI was proposed in this paper.This algorithm improved weight by setting the reciprocal value of distance of RSSI as weight,effectively reduced the proportion of longer distance in the weight,thereby improved indoor positioning accuracy;for the effect of weight correction coefficient n value on the positioning accuracy,the result showed that the algorithm had the highest positioning accuracy when n=6,and the algorithm was better than the existing centroid localization algorithm and weighted centroid localization algorithm.The algorithm proposed in this paper reduced the influence of complex environment factors in the positioning process,further improved the positioning accuracy when using wireless sensor network for indoor positioning.And it shed a light on location estimation under circumstances like smart city,intelligent transportation,mine and disaster relief and some other fields.