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Open AccessArticle

A Robust Noise Mitigation Method for the Mobile RFID Location in Built Environment

1
School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
2
Department of Geoinformation Processing, Faculty of Geo-Information Science and Earth Observation, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(9), 2143; https://doi.org/10.3390/s19092143
Received: 25 March 2019 / Revised: 5 May 2019 / Accepted: 6 May 2019 / Published: 9 May 2019
(This article belongs to the Special Issue Sensor Applications on Built Environment)
The exact location of objects, such as infrastructure, is crucial to the systematic understanding of the built environment. The emergence and development of the Internet of Things (IoT) have attracted growing attention to the low-cost location scheme, which can respond to a dramatic increasing amount of public infrastructure in smart cities. Various Radio Frequency IDentification (RFID)-based locating systems and noise mitigation methods have been developed. However, most of them are impractical for built environments in large areas due to their high cost, computational complexity, and low noise detection capability. In this paper, we proposed a novel noise mitigation solution integrating the low-cost localization scheme with one mobile RFID reader. We designed a filter algorithm to remove the influence of abnormal data. Inspired the sampling concept, a more carefully parameters calibration was carried out for noise data sampling to improve the accuracy and reduce the computational complexity. To achieve robust noise detection results, we employed the powerful noise detection capability of the random sample consensus (RANSAC) algorithm. Our experiments demonstrate the effectiveness and advantages of the proposed method for the localization and noise mitigation in a large area. The proposed scheme has potential applications for location-based services in smart cities. View Full-Text
Keywords: radio frequency identification (RFID); low-cost localization; noise mitigation; localization error radio frequency identification (RFID); low-cost localization; noise mitigation; localization error
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MDPI and ACS Style

Jing, C.; Sun, T.; Chen, Q.; Du, M.; Wang, M.; Wang, S.; Wang, J. A Robust Noise Mitigation Method for the Mobile RFID Location in Built Environment. Sensors 2019, 19, 2143.

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