三边测量
精度稀释
计算机科学
实时计算
室内定位系统
计算
定位系统
最小二乘函数近似
算法
工程类
数学
加速度计
全球定位系统
统计
点(几何)
电信
几何学
结构工程
全球导航卫星系统应用
估计员
节点(物理)
操作系统
作者
Sy-Hung Bach,Soo-Yeong Yi
出处
期刊:IEEE Transactions on Industrial Informatics
[Institute of Electrical and Electronics Engineers]
日期:2023-01-01
卷期号:: 1-9
标识
DOI:10.1109/tii.2023.3326535
摘要
The indoor positioning system (IPS) plays a crucial role in many applications of the Internet of Things (IoT). The trilateration is the most common and widely used method for the IPS because of its computational efficiency and ease of implementation. However, the accuracy of trilateration is affected by the geometric dilution of precision (GDOP). In this article, we propose a constrained least-squares trilateration (CLST) for the IPS that achieves high positioning performance with efficient computations even under severe GDOP conditions. The ultrawideband sensors are used to test the proposed positioning algorithm in this study. The positioning performance of the proposed method is demonstrated by simulations and experiments.
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