scholarly journals Passive multiple target indoor localization based on joint interference cancellation in an RFID System

Electronics ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 426 ◽  
Author(s):  
Liu ◽  
Ma ◽  
Wang ◽  
Zhang ◽  
Yang ◽  
...  
Keyword(s):  
Interference Cancellation ◽  
Mutual Coupling ◽  
Indoor Localization ◽  
Channel Model ◽  
Target Localization ◽  
Multiple Target ◽  
Single Target ◽  
Median Error ◽  
Reference Tags ◽  
Array Aperture

Radio frequency identification (RFID) provides a simple and effective solution to the passive indoor localization. The conventional wisdom about RFID localization is using reference tags. It performs well in tag or passive single target localization. However, in the passive multiple target scenario, reference tag based localization suffers from some limitations, including the array aperture, mutual coupling of reference tags, and coherent superimposition signals. These problems are harmless and ignored in tag or passive single target localization, but degrade the performance severely in passive multiple target scenario. Therefore, in this paper, the authors propose a joint interference cancellation method to mitigate the effect of these limitations. Uniform circular array (UCA) of reference tags were used to reduce the interference of the array aperture. A carefully designed relative position of adjacent reference tags and a modified channel model were combined to reduce the mutual coupling. A virtual distributed reader antenna array was used to reduce the false positive and false negative estimations. The system was evaluated in real indoor environment using noodles and colas as targets and can work well in a smoky environment that is similar to some real industrial environments. The accuracy of target number estimation is 97.5%. The spatial resolution is about 30 cm, and the median error of 2-D multiple target localization is about 5.5 cm.

Multiple target localization in WSNs via CS reconstruction based on discrete GSO algorithm

2014 ◽  
Vol 22 (7) ◽  
pp. 1904-1911 ◽  
Author(s):  
刘洲洲 LIU Zhou-zhou ◽  
王福豹 WANG Fu-bao
Keyword(s):  
Target Localization ◽  
Multiple Target

Indoor Localization Using the Reference Tags and Phase of Passive UHF-RFID Tags

2017 ◽  
Vol 13 (2) ◽  
pp. 69-82 ◽  
Author(s):  
He Xu ◽  
Ye Ding ◽  
Peng Li ◽  
Ruchuan Wang
Keyword(s):  
Production Management ◽  
Indoor Localization ◽  
Rfid Tags ◽  
Uhf Rfid ◽  
Passive Uhf Rfid ◽  
Hardware System ◽  
Reference Tags ◽  
Software And Hardware ◽  
Collaborative Information System ◽  
Time And Energy

In recent years, indoor position has been an important role in many applications, such as production management, store management and shelves in supermarket or library. Much time and energy are exhausted because one object cannot be quickly and accurately located. Traditional indoor position systems have some problems, such as complicated software and hardware system, inaccurate position and high time complexity. In this paper, the authors propose an RFID-based collaborative information system, Tagrom, for indoor localization using COTS RFID readers and tags. Unlike former methods, Tagrom works with reference tags and phase of Passive UHF-RFID tags, which improves traditional distribution of reference tags and utilize RF phase replace of traditional RSSI or multipath profile to determine the position of target RFID tags.

Study on the Characteristics of the Automatic Tracking of Multiple Target Tracking

2014 ◽  
Vol 496-500 ◽  
pp. 1564-1567
Author(s):  
Jing Feng He ◽  
Ming Ji ◽  
Song Cheng ◽  
Ya Nan Wang
Keyword(s):  
Target Tracking ◽  
Multiple Target Tracking ◽  
Multiple Target ◽  
Multiple Targets ◽  
Automatic Tracking ◽  
Single Target ◽  
Development Direction ◽  
The Future ◽  
Single Target Tracking

Based on introducing the traditional scan and single target tracking state, focuses on the automatic tracking characteristics of each stage under the condition of multiple targets. The two form of automatic tracking multiple targets, and the development direction of the future.

scholarly journals DOA Estimation under Unknown Mutual Coupling and Multipath with Improved Effective Array Aperture

Sensors ◽  
2015 ◽  
Vol 15 (12) ◽  
pp. 30856-30869 ◽  
Author(s):  
Yuexian Wang ◽  
Matthew Trinkle ◽  
Brian Ng
Keyword(s):  
Mutual Coupling ◽  
Doa Estimation ◽  
Array Aperture

Multiple-Target Selective Disassembly Sequence Planning With Disassembly Sequence Structure Graphs

2012 ◽  
Author(s):  
Shana Smith ◽  
Wei-Han Chen
Keyword(s):  
Model Complexity ◽  
Multiple Target ◽  
Sequence Structure ◽  
Specific Product ◽  
Disassembly Sequence Planning ◽  
Sequence Planning ◽  
Single Target ◽  
Disassembly Sequence ◽  
Graph Size ◽  
Selective Disassembly

Modern green products must be easy to disassemble. Selective disassembly is used to access and remove specific product components for reuse, recycling, or remanufacturing. Early related studies developed various heuristic or graph-based approaches for single-target selective disassembly. More recent research has progressed from single-target to multiple-target disassembly, but disassembly model complexity and multiple constraints, such as fastener constraints and disassembly directions, still have not been considered thoroughly. In this study, a new graph-based method using disassembly sequence structure graphs (DSSGs) was developed for multiple-target selective disassembly sequence planning. The DSSGs are built using expert rules, which eliminate unrealistic solutions and minimize graph size, which reduces searching time. Two or more DSSGs are combined into one DSSG for accessing and removing multiple target components. In addition, a genetic algorithm is used to decode graphical DSSG information into disassembly sequences and optimize the results. Using a GA to optimize results also reduces searching time and improves overall performance, with respect to finding global optimal solutions. Case studies show that the developed method can efficiently find realistic near-optimal multiple-target selective disassembly sequences for complex products.

scholarly journals RILS: RFID indoor localization system using mobile readers

2018 ◽  
Vol 14 (4) ◽  
pp. 155014771877128 ◽  
Author(s):  
Jinkai Liu ◽  
Yanqing Qiu ◽  
Kezhao Yin ◽  
Wentong Dong ◽  
Jiaqing Luo
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Large Scale ◽  
Indoor Localization ◽  
Scheduling Algorithm ◽  
Localization Accuracy ◽  
Localization System ◽  
Continuous Scanning ◽  
Reference Tags ◽  
Frequency Identification

The radio frequency identification technology was given greater interest as it is widely used for identification and localization in the cognitive radio sensor networks. While radio frequency identification–based indoor localization is attractive, the need for a large-scale and high-density deployment of readers and reference tags is costly. Using mobile readers mounted on guide rails, we design and implement an RFID indoor localization system, which requires neither reference tags nor received signal strength indicator functions, for stock-taking and searching in warehouse operations. In particular, we install two guide rails, which can allow a reader to move horizontally or vertically, on the ceiling of a warehouse or workshop. We then propose a continuous scanning algorithm to improve the accuracy for locating a single tagged object and a category-based scheduling algorithm to shorten the time for locating multiple tagged objects. Our primary experimental results show that RFID indoor localization system can achieve high time efficiency and localization accuracy in the indoor localization.

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