Performance Comparison of WiFi and UWB Fingerprinting Indoor Positioning Systems

Caso, Giuseppe; Le, Mai T. P.; Nardis, Luca De; Benedetto, Maria‐Gabriella Di

doi:10.3390/technologies6010014

Cited by 24 publications

(14 citation statements)

References 29 publications

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“…In conclusion, it can be said that KNN's effectiveness for indoor positioning was largely improved by using multiple NNs to support trilateration. This method achieved comparable performance to various works found in the IPS literature [31,32,33,36] but with overall less complexity for deployment and flexibility against system changes.…”

Section: Discussionmentioning

confidence: 55%

Practical And Robust Approach For A Neural Networks Based Indoor Positioning System Using Ultrawide Band

Murari¹

2021

Preprint

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With the increasing widespread of sensor technology, new solutions for indoor positioning systems are continuously being developed and with them, new services requiring accurate positioning data have seen a great rise in popularity. In this thesis, a new design technique and deployment methodology for an indoor positioning system using neural networks is proposed to offer more flexibility and simplicity in the development of such a system which is currently very context-bound. The usage of battery-powered tags implies also that systems should not require excessive power consumption and the large number of targets to position requires a method that is not only accurate but also scalable. The proposed positioning system utilizes a small “swarm” of neural networks tasked to position targets based on distance measurements from Ultrawide Band sensors and requires shorter fingerprint collection campaigns and enables more flexibility in system deployment and alterations. Instead of relying solely on real data collected on the field for the training of neural networks, synthetic data is used for an initial training phase. Together, these propositions allow flexibility in terms of adding, removing or altering positions of reference nodes and simplifies offline deployment operations of an indoor positioning system. This thesis presents a system operating in a laboratory-workshop environment capable of good positioning accuracies and maintains robust performances in poor signal propagation.

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Section: Discussionmentioning

confidence: 55%

Practical And Robust Approach For A Neural Networks Based Indoor Positioning System Using Ultrawide Band

Murari¹

2021

Preprint

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“…Finally, 62 new IPS works from 2018 with 5 or more citations [91,116,117,118,177,178,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312] and 46 new IPS works from 2019 with 1 or more citations [105,313,314,315,316,317,…”

Section: Discussion On Ips Current Statementioning

confidence: 99%

A Meta-Review of Indoor Positioning Systems

Mendoza-Silva

Torres-Sospedra

Huerta

2019

Sensors

204

130

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An accurate and reliable Indoor Positioning System (IPS) applicable to most indoor scenarios has been sought for many years. The number of technologies, techniques, and approaches in general used in IPS proposals is remarkable. Such diversity, coupled with the lack of strict and verifiable evaluations, leads to difficulties for appreciating the true value of most proposals. This paper provides a meta-review that performed a comprehensive compilation of 62 survey papers in the area of indoor positioning. The paper provides the reader with an introduction to IPS and the different technologies, techniques, and some methods commonly employed. The introduction is supported by consensus found in the selected surveys and referenced using them. Thus, the meta-review allows the reader to inspect the IPS current state at a glance and serve as a guide for the reader to easily find further details on each technology used in IPS. The analyses of the meta-review contributed with insights on the abundance and academic significance of published IPS proposals using the criterion of the number of citations. Moreover, 75 works are identified as relevant works in the research topic from a selection of about 4000 works cited in the analyzed surveys.

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“…Among all of them, nowadays the solutions based on UWB sensors are the most valuable choices to obtain high accuracy at a moderate cost. UWB devices use TOA or TDOA as the sensing parameter, achieving a better accuracy than the technologies based on RSS (such as Bluetooth, RFID, and WiFi), which were traditionally used in indoor location systems [30]. One of the most widespread UWB integrated circuit (IC) used in industry is the Decawave DW1000 module [31], which is frequently found in many solutions such as the set of tags and anchors from Pozyx [32].…”

Section: Sensor Considered For Industrial Environmentsmentioning

confidence: 99%

Multi-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environments

et al. 2019

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Location and tracking needs are becoming more prominent in industrial environments nowadays. Process optimization, traceability or safety are some of the topics where a positioning system can operate to improve and increase the productivity of a factory or warehouse. Among the different options, solutions based on ultra-wideband (UWB) have emerged during recent years as a good choice to obtain highly accurate estimations in indoor scenarios. However, the typical harsh wireless channel conditions found inside industrial environments, together with interferences caused by workers and machinery, constitute a challenge for this kind of system. This paper describes a real industrial problem (location and tracking of forklift trucks) that requires precise internal positioning and presents a study on the feasibility of meeting this challenge using UWB technology. To this end, a simulator of this technology was created based on UWB measurements from a set of real sensors. This simulator was used together with a location algorithm and a physical model of the forklift to obtain estimations of position in different scenarios with different obstacles. Together with the simulated UWB sensor, an additional inertial sensor and optical sensor were modeled in order to test its effect on supporting the location based on UWB. All the software created for this work is published under an open-source license and is publicly available.

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Performance Comparison of WiFi and UWB Fingerprinting Indoor Positioning Systems

Cited by 24 publications

References 29 publications

Practical And Robust Approach For A Neural Networks Based Indoor Positioning System Using Ultrawide Band

Practical And Robust Approach For A Neural Networks Based Indoor Positioning System Using Ultrawide Band

A Meta-Review of Indoor Positioning Systems

Multi-Sensor Accurate Forklift Location and Tracking Simulation in Industrial Indoor Environments

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