路泽忠;卢小平;付睢宁;刘晓帮;

• 1:河南理工大学矿山空间信息技术国家测绘地理信息局重点实验室

摘要(Abstract)：

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。

关键词(KeyWords)： 路径损耗;RSSI;质心定位;加权质心定位;权值修正系数

Abstract:

Keywords:

基金项目(Foundation): 2016年国家重点研发计划项目(2016YFC0803103);; 河南省高校创新团队支持计划项目(14IRTSTHN026);; 河南省创新型科技创新团队支持计划项目

作者(Authors): 路泽忠;卢小平;付睢宁;刘晓帮;

DOI: 10.16251/j.cnki.1009-2307.2019.01.006

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