Institut Jožef Stefan, Department of Communication Systems, Ljubljana, 1000, Slovenia.
Sci Data. 2023 Oct 26;10(1):744. doi: 10.1038/s41597-023-02639-5.
Indoor positioning has become a hot topic in various fields, such as industry, healthcare, and commerce. Ultra-wideband (UWB) radio technology provides a cost-effective solution for range-based positioning, offering exceptionally high accuracy and precision. Its ultra-high temporal resolution enables range measurements with accuracy of a few centimeters. To develop and evaluate range-based positioning systems, we collected measurements in four different indoor environments using eight fixed devices and one mobile positioning device. To eliminate the fluctuation of walking speed from the data, we pre-defined a path in each indoor environment, similar to the human walking path, which was sampled at equidistant positions. We collected multiple range measurements and channel impulse response (CIR) data at each tag position on the path. The resulting dataset supports the development of range-based positioning and position tracking algorithms with various combinations of network topologies and anchor-tag combinations. We have also provided a full set of data analysis tools that enable the reproducibility of results and serve as a basis for further development of range-based UWB positioning algorithms.
室内定位已成为工业、医疗和商业等各个领域的热门话题。超宽带 (UWB) 无线电技术为基于距离的定位提供了一种具有成本效益的解决方案，具有极高的精度和准确性。其超高的时间分辨率可实现精度为几厘米的距离测量。为了开发和评估基于距离的定位系统，我们使用八个固定设备和一个移动定位设备在四个不同的室内环境中进行了测量。为了消除行走速度波动对数据的影响，我们在每个室内环境中预先定义了一条路径，类似于人类的行走路径，在该路径上以等距位置进行采样。我们在路径上的每个标记位置收集了多个距离测量值和信道脉冲响应 (CIR) 数据。由此产生的数据集支持各种网络拓扑和锚点-标记组合的基于距离的定位和位置跟踪算法的开发。我们还提供了一整套数据分析工具，可实现结果的可重复性，并为进一步开发基于距离的 UWB 定位算法提供基础。
