Tag-Array-Based UHF Passive RFID Tag Attitude Identification of Tracking Methods

Area of Science:

• Robotics and Automation
• Wireless Sensing Technologies
• Object Recognition and Tracking

Background:

• Accurate object attitude information is crucial for localization and description.
• Existing methods may lack sufficient spatial freedom or struggle with phase ambiguity.

Purpose of the Study:

• To propose and validate a novel object attitude sensing method using ultra-high frequency (UHF) passive RFID.
• To enhance spatial freedom and eliminate phase ambiguity in object attitude determination.

Main Methods:

• Utilized a dual-tag array strategy with UHF passive RFID.
• Developed a coupling model to compensate for inter-tag interference.
• Integrated object rotation angle influence into the attitude recognition model.
• Employed polynomial regression for phase measurement error reduction.

Main Results:

• Achieved an average object positioning error of 12.3 cm.
• Attained an average attitude angle recognition error of 8.28°.
• Demonstrated significant improvement in recognition accuracy for both localization and attitude.

Conclusions:

• The proposed dual-tag RFID method effectively improves object attitude sensing accuracy.
• Compensating for inter-tag coupling and rotation angle is vital for precise measurements.
• The method is suitable for practical applications requiring accurate attitude recognition.