.png){kind=icon}
返回
PRG: A Distance Measurement Algorithm Based on Phase Regeneration
.png){kind=icon}
OA
AI
DOI：10.3390/s18082595.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
With the booming development of the Internet of things (IoT) industry, the demand of positioning technology in various IoT application scenarios is also greatly increased. To meet the positioning requirements of the IoT application, we propose a distance measurement method based on phase regeneration that can provide positioning capability for IoT applications in indoor and outdoor environments. The PRG algorithm consists of two phases: coarse ranging phase and fine ranging phase. Fingerprint positioning algorithm based on Gradient Boost Decision Tree (GBDT) is used to determine coarse distance. The host machine measures the difference between the transmitted carrier phase and the received regenerative carrier phase to fix the fine distance and then the coarse distance is used to determine the carrier phase integer ambiguity. Finally, high precision ranging is realized. Simulation results show that the PRG method can achieve range finding with decimeter level precision under the 10 MHz subcarrier frequency.
Keyword:
IoT
phase regeneration
distance measurement
GBDT
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:
3.5
论文数:
7.2W
被引数:
20.9W
机构
引用论文
Discrete-Time H∞ Filtering for Mobile Robot Localization Using Wireless Sensor Network.png)
IEEE SENSORS JOURNAL
IEEE SENSORS JOURNALIF4.5
PREAI
分享收藏Radio Frequency Time-of-Flight Distance Measurement for Low-Cost Wireless Sensor LocalizationIEEE SENSORS JOURNAL
IEEE SENSORS JOURNALIF4.5
PREAI
分享收藏分享收藏Concealed penis in pediatric age group: a comparison between three surgical techniquesBMC Urology
OAAI
BMC UrologyIF0
OAAI分享收藏 没有更多内容
没有更多内容