On distinguishing the multiple radio paths in rss-based ranging
文献类型:会议论文
作者 | Zhang, Dian; Liu, Yunhuai; Guo, Xiaonan; Gao, Min; Ni, Lionel M. |
出版日期 | 2012 |
会议名称 | IEEE Conference on Computer Communications, INFOCOM 2012 |
会议地点 | Orlando,Florida USA |
英文摘要 | Among the various ranging techniques, Radio Signal Strength (RSS) based approaches attract intensive research interests because of its low cost and wide applicability. RSS-based ranging is apt to be affected by the multipath phenomenon which allows the radio signals to reach the destination through multiplepropagation paths. To address this issue, previous works try to profile the environment and refer this profile in run-time. In practical dynamic environments, however,the profile frequently changes and the painful retraining is needed. Rather than such static ways of profiling the environments, in this paper, we try to accommodatethe environmental dynamics automatically in real-time. The key observation is that given a pair of nodes, the RSS at different spectrum channels will be different. This difference carries the valuable phase information of the radio signals. By analyzing these RSS values, we are able to identify the amplitude of signals solely from theLine-of-Sight (LOS) path. This LOS amplitude is a simple function of the path length (the physical distance). We find that the analysis is a typical non-linear curvature fitting problem that has no general routing algorithms. We prove this problem format is ill-conditioned which has no stable and trustable solutions. To deal with this issue, we further explore the practical considerations for the problem and reform it to a greatly improved conditioning shape. We solve the problem by numerical iterations and implement these ideas in a real-time indoor tracking system called MuD. MuD employs only three TelosB nodes as anchors. The experiment results show that in a dynamic environment where five people move around, the averaged localization error is 1 meter. Compared with the traditional RSS-based approachesin dynamic environment, the accuracy improves up to 10 times. © 2012 IEEE.(19 refs) |
收录类别 | EI |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/4238] ![]() |
专题 | 深圳先进技术研究院_数字所 |
作者单位 | 2012 |
推荐引用方式 GB/T 7714 | Zhang, Dian,Liu, Yunhuai,Guo, Xiaonan,et al. On distinguishing the multiple radio paths in rss-based ranging[C]. 见: IEEE Conference on Computer Communications, INFOCOM 2012. Orlando,Florida USA. |
入库方式: OAI收割
来源:深圳先进技术研究院
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