Shen, E.; Duan, S.; Guo, S.; Yang, W. Object Localization and Sensing in Non-Line-of-Sight Using RFID Tag Matrices. Electronics2024, 13, 341.
Shen, E.; Duan, S.; Guo, S.; Yang, W. Object Localization and Sensing in Non-Line-of-Sight Using RFID Tag Matrices. Electronics 2024, 13, 341.
Shen, E.; Duan, S.; Guo, S.; Yang, W. Object Localization and Sensing in Non-Line-of-Sight Using RFID Tag Matrices. Electronics2024, 13, 341.
Shen, E.; Duan, S.; Guo, S.; Yang, W. Object Localization and Sensing in Non-Line-of-Sight Using RFID Tag Matrices. Electronics 2024, 13, 341.
Abstract
RFID based technology innovated a new field of wireless sensing, which has been applied in posture recognition, object localization and the other sensing fields, the existing sensing methods often require tags to be attached to dynamic targets (because RFID signals are more sensitive to moving target), significantly limiting their applications. It is a challenging task to sensing a static target without tag attached in NLOS (Non-Line-of-Sight). We utilized RFID technologies to sense the static foreign objects in agricultural products, and taken metal, rock, rubber and clod as sensing targets that are common in agricultural. By deploying a tag matrices to create a sensing region, we observed the signal variations before and after the appearance of the targets in this sensing region, determined the targets’ positions and their types. Here, we buried the targets in the media of seedless cotton and wheat, and detected static targets with a non-contact method in the NLOS. Researches illustrated that by deploying appropriate tag matrices and adjusting the angle of a single RFID antenna, the matrices signals can be sensitive to the static targets’ positions and their properties,i.e. matrices signals vary with different targets and their positions. Specifically, we achieved a 100% success rate in locating metallic targets, while the success rate for clods was the lowest at 86%. We achieved a 100% recognition rate for the types of all the four objects.
Keywords
RFID tag matrix; wireless sensing; foreign object recognition; 3D localization
Subject
Computer Science and Mathematics, Computer Networks and Communications
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
