.png){kind=icon}
返回
3D Localization for Subcentimeter-Sized Devices
.png){kind=icon}
PRE
AI
DOI：10.1145/3446782.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The vision of tracking small IoT devices runs into the reality of localization technologies-today it is difficult to continuously track objects through walls in homes and warehouses on a coin cell battery. Although Wi- Fi and ultra-wideband radios can provide tracking through walls, they do not last more than a month on small coin and button cell batteries because they consume tens of milliwatts of power. We present the first localization system that consumes microwatts of power at a mobile device and can be localized across multiple rooms in settings such as homes and hospitals. To this end, we introduce a multiband backscatter prototype that operates across 900 MHz, 2.4 GHz, and 5 GHz and can extract the backscatter phase information from signals that are below the noise floor. We build subcentimeter-sized prototypes that consume 93 mu W and could last five to ten years on button cell batteries. We achieved ranges of up to 60 m away from the AP and accuracies of 2, 12, 50, and 145 cm at 1, 5, 30, and 60 m, respectively. To demonstrate the potential of our design, we deploy it in two real-world scenarios: five homes in a metropolitan area and the surgery wing of a hospital in patient pre-op and post-op rooms as well as storage facilities.
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
12.2
论文数:
1.2W
被引数:
3.7W
机构
引用论文
.png){kind=icon}
Interactive Learning Environment for Bio-Inspired Optimization Algorithms for UAV Path Planning
PREAI
分享收藏分享收藏分享收藏Cosine Phase Droop Control (CPDC) for the Dual-Active Bridge in lighting smart grids applications
OAAI
OAAI分享收藏 没有更多内容
没有更多内容