A Novel Robust Algorithm Attenuating Non-Line-of-Sight Errors in Indoor Localization | |
Bo,You; Xueen,Li; Xudong,Zhao; Yijun.Gao | |
2015-06 | |
会议名称 | The 7th IEEE International Conference on Communication Software and Networks |
会议录名称 | Proceedings of 2015 IEEE International Conference on Communication Software and Networks |
会议日期 | June 6,2015-June 7,2015 |
会议地点 | Chengdu |
摘要 |
In time of arrival (TOA) based indoor personnel positioning system, the human body mounted with positioning devices could cause non-line-of-sight (NLOS) propagation and further give rise to large ranging errors, thus reducing the accuracy of localization. A novel NLOS identification and mitigation method based on UWB signal power is proposed in this paper, which solves the problem that the performance of classical least squares (LS) algorithm severely degrades in NLOS environments. An improved self-learning LS localization algorithm is also introduced, overcoming the drawbacks of LS estimator that it requires at least three range estimates for an unambiguous solution. Furthermore, we demonstrate the proposed approach outperforms traditional LS algorithm with an increasing localization accuracy by 50% in NLOS scenarios. |
关键词 | Indoor Localization Nlos Identification And Mitigation Self-learning Ls Algorithm |
收录类别 | EI |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/41143 |
专题 | 数字内容技术与服务研究中心_远程智能医疗 |
通讯作者 | Bo,You |
推荐引用方式 GB/T 7714 | Bo,You,Xueen,Li,Xudong,Zhao,et al. A Novel Robust Algorithm Attenuating Non-Line-of-Sight Errors in Indoor Localization[C],2015. |
条目包含的文件 | 条目无相关文件。 |
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