引用本文: |
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刘志先,赵荣阳.基于RSSI的室内定位改进算法[J].广西科学院学报,2015,31(1):69-72,76. [点击复制]
- LIU Zhi-xian,ZHAO Rong-yang.An Indoor Positioning Algorithm Based on RSSI[J].Journal of Guangxi Academy of Sciences,2015,31(1):69-72,76. [点击复制]
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摘要: |
[目的]为提高室内环境的定位精度,提出一种改进的基于RSSI(接受信号强度显示)的室内定位算法。[方法]首先根据室内的实际布局情况对场所进行区域分割,然后采用等边三角形布局信标节点,接着用高斯模型对数据进行预处理,最后使用改进的加权三边测量法定位未知节点的最终坐标。[结果]改进的算法具有定位误差小、精度高的特点。[结论]该算法适用于室内精确定位,有利于无线传感器网络的发展。 |
关键词: 无线传感器网络 RSSI 改进 加权三边测量法 室内定位 |
DOI: |
投稿时间:2014-11-10修订日期:2014-12-24 |
基金项目:广西高校科研项目"基于物联网技术的智能导览系统的研究与实现"(YB2014410)资助。 |
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An Indoor Positioning Algorithm Based on RSSI |
LIU Zhi-xian, ZHAO Rong-yang
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(Department of Math and Computer Science, Qinzhou University, Qinzhou, Guangxi, 535099, China) |
Abstract: |
[Objective] There is great demand of indoor positioning technology.In order to improve the positioning accuracy at indoor environment, an improved indoor positioning algorithm is proposed in this paper.[Methods] This algorithm segments the overall region, and then distributs the beacon nodes by the equilateral triangle distribution model followed by pretreatment of Gauss model and the unknown node positioning by the improved weighted trilateration.[Results] The experimental results show that the advantages of algorithm is small error and high precise positioning.[Conclusion] The algorithm is suitable for precise indoor positioning. |
Key words: wireless sensor network RSSI improve weighted trilateration method indoor positioning |