Institute of Computing Technology, Chinese Academy IR
An RSSI Gradient-based AP Localization Algorithm | |
Zhao Fang1; Luo Haiyong2; Geng Hao1; Sun Qijin1 | |
2014 | |
发表期刊 | CHINA COMMUNICATIONS |
ISSN | 1673-5447 |
卷号 | 11期号:2页码:100 |
摘要 | Recent rapid rise of indoor location based services for smartphones has further increased the importance of precise localization of Wi-Fi Access Point (AP). However, most existing AP localization algorithms either exhibit high errors or need specialized hardware in practical scenarios. In this paper, we propose a novel RSSI gradient-based AP localization algorithm. It consists of the following three major steps: firstly, it uses the local received signal strength variations to estimate the direction (minus gradient) of AP, then employs a direction clustering method to identify and filter measurement outliers, and finally adopts triangulation method to localize AP with the selected gradient directions. Experimental results demonstrate that the average localization error of our proposed algorithm is less than 2 meters, far outperforming that of the weighted centroid approach. |
关键词 | POSITION ESTIMATION WIFI SYSTEM AP localization RSSI gradient clustering triangulation |
语种 | 英语 |
资助项目 | [National Natural Science Foundation of China] ; [Ministry of Industry and Information Technology] ; [National High Technology Research and Development Program of China] |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/35192 |
专题 | 中国科学院计算技术研究所期刊论文_中文 |
作者单位 | 1.Beijing University Posts & Telecommun, Sch Software Engn, Beijing 100876, Peoples R China 2.中国科学院 3.中国科学院计算技术研究所 |
推荐引用方式 GB/T 7714 | Zhao Fang,Luo Haiyong,Geng Hao,et al. An RSSI Gradient-based AP Localization Algorithm[J]. CHINA COMMUNICATIONS,2014,11(2):100. |
APA | Zhao Fang,Luo Haiyong,Geng Hao,&Sun Qijin.(2014).An RSSI Gradient-based AP Localization Algorithm.CHINA COMMUNICATIONS,11(2),100. |
MLA | Zhao Fang,et al."An RSSI Gradient-based AP Localization Algorithm".CHINA COMMUNICATIONS 11.2(2014):100. |
条目包含的文件 | 条目无相关文件。 |
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