Compensating Signal Loss in RFID-Based Localization Systems

被引:4
作者
Modeer, Marina Rantanen [1 ]
Vette, Stephan [1 ]
Engell, Sebastian [1 ]
机构
[1] Tech Univ Dortmund, Proc Dynam & Operat Grp, Dortmund, Germany
来源
IFAC PAPERSONLINE | 2019年 / 52卷 / 08期
基金
欧盟地平线“2020”;
关键词
Positioning systems; Radio Frequency Identification; Real-time motion tracking; Indoor robotic systems; Mutual inductance; Received Signal Strength Indicator;
D O I
10.1016/j.ifacol.2019.08.062
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Reliable real-time motion tracking is a crucial element for the proper function of autonomous robotic systems. Unstable environments, for instance such that demonstrate varying light conditions and moving shadows, cause problems for many of the commonly used vision-based position feedback systems. To eliminate the dependency on light, positioning systems based on Radio Frequency Identification (RFID) can be used and are gaining both academic and commercial attention. RFID-based positioning systems can rely on signal strength indicators to calculate the relative distance between RFID tags and the reader. However, they may entail drawbacks due to noise or signal loss caused by unavoidable sources of disturbance. This paper proposes a filter for the preprocessing before the calculation of the position to overcome the problem of blind spots. The paper describes an RFID-based positioning system for an experimental pipe-less plant. The position of each Automated Guided Vehicle (AGV) in the setup is calculated based on a trilateration algorithm using Received Signal Strength Indicators (RSSI). Ambiguous RSSI values that correspond to multiple possible distances between the reader and a tag are reinterpreted based on the probable location in the overall grid of RFID tags. The proposed filter improves the positioning precision from an average error of about 45 millimeters down to less than 25 millimeters by eliminating invalid data points. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
引用
收藏
页码:142 / 147
页数:6
相关论文
共 22 条
[1]  
[Anonymous], FUTURE GENERATION CO
[2]  
[Anonymous], 2017, Int J Eng Res Appl
[3]  
[Anonymous], MULTIPRODUCT PLANTS
[4]  
[Anonymous], 2012, INDOOR POSITIONING T
[5]  
[Anonymous], BATCH PROCESSING SYS
[6]   VALIDITY CHECK OF MUTUAL INDUCTANCE FORMULAS FOR CIRCULAR FILAMENTS WITH LATERAL AND ANGULAR MISALIGNMENTS [J].
Babic, S. I. ;
Sirois, F. ;
Akyel, C. .
PROGRESS IN ELECTROMAGNETICS RESEARCH M, 2009, 8 :15-26
[7]   Indoor Positioning for Smartphones Using Asynchronous Ultrasound Trilateration [J].
Filonenko, Viacheslav ;
Cullen, Charlie ;
Carswell, James D. .
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2013, 2 (03) :598-620
[8]  
Frattasi S., 2017, Mobile Positioning and Tracking: From Conventional to Cooperative Techniques
[9]   Optical wireless indoor positioning system using light emitting diode ceiling lights [J].
Jung, Soo-Yong ;
Hann, Swook ;
Park, Suyong ;
Park, Chang-Soo .
MICROWAVE AND OPTICAL TECHNOLOGY LETTERS, 2012, 54 (07) :1622-1626
[10]  
Lee C, 2004, IEEE IND ELEC, P2218