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A Robust Noise Mitigation Method for the Mobile RFID Location in Built Environment
Changfeng Jing1, Tiancheng Sun2, Qiang Chen3
1School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China. jingcf@bucea.edu.cn.
Sensors (Basel, Switzerland)
|May 12, 2019
Summary
This study introduces a novel, low-cost Radio Frequency IDentification (RFID) localization system with advanced noise mitigation for smart cities. The method improves accuracy and efficiency in locating public infrastructure across large areas.
Area of Science:
- Built Environment Studies
- Internet of Things (IoT)
- Smart City Technologies
Background:
- Accurate object localization is vital for understanding the built environment.
- The Internet of Things (IoT) drives demand for low-cost localization solutions for smart city infrastructure.
- Existing Radio Frequency IDentification (RFID) systems face challenges in large-scale applications due to cost, complexity, and noise sensitivity.
Purpose of the Study:
- To propose a novel noise mitigation solution for low-cost RFID localization systems.
- To enhance the accuracy and reduce computational complexity of object localization in large built environments.
- To develop a practical and robust localization scheme for smart city applications.
Main Methods:
- Integration of a low-cost localization scheme with a mobile RFID reader.
- Development of a filter algorithm for abnormal data removal.
- Application of the random sample consensus (RANSAC) algorithm for robust noise detection.
- Careful parameter calibration inspired by sampling concepts for noise data sampling.
Main Results:
- The proposed method effectively mitigates noise in RFID localization data.
- Improved accuracy and reduced computational complexity were demonstrated.
- The system proved effective for localization and noise mitigation in large areas.
- Experimental results validated the advantages of the proposed scheme.
Conclusions:
- The developed RFID localization and noise mitigation scheme is effective and practical for large-scale applications.
- The method offers a low-cost, efficient solution for locating infrastructure in smart cities.
- Potential applications include enhancing location-based services within smart city frameworks.
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