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中文摘要：
传统的基于接收信号强度测距定位需要人工建模获取定位场景的先验测距模型参数，无法适应复杂及动态变化的环境。利用参考节点之间相互通信为每个参考节点赋予不同的路径损耗指数的特性，实现了室内定位的自适应和自动化。测试结果表明，与采用单一的测距模型参数相比，该算法提高了定位精度。
英文摘要：
Indoor positioning by the use of wireless sensor networks is a hot topic for research. The traditional ranging positioning method based on the strength of received signals can not work in complex and dynamic environ- ment because the necessary priori ranging model parameters of the positioning scene can only be obtained through artificial modeling. The current research based on the analysis of ranging models, by attaching different path loss exponents to each reference node through the communication between the reference nodes, achieves the self-adapta- tion and automation of indoor positioning. The experimental results show that the positioning accuracy is improved with this algorithm comt）ared to the method through ~in~,l~ rnnrl~l t~
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