Exposure and Evaluation of Different Indoor Localization Systems

Ibnatta, Youssef; Khaldoun, Mohammed; Sadik, Mohammed

doi:10.1007/978-981-16-1781-2_64

Cited by 3 publications

(5 citation statements)

References 28 publications

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“…In the last part of the simulation, we examined the system performance on the number of Static Access Points SAP variations. The results presented in Figures 18,19,20,23,24,25,26,27, and 28 show the system's effectiveness in different scenarios where the number of access points is unable to infer the positions of indoor passages. The 4 SAP case is the best one because the Static Access Points had positioned correctly to do the initialization step of the MAPM algorithm.…”

Section: Discussion and Resultsmentioning

confidence: 99%

“…In this work, we choose UWB-OFDM as a telecommunication channel due to the positive qualities of UWB and OFDM. These allow IPS to respect some criteria presented in [26]. In addition, UWB-OFDM can work perfectly with RSS compared to the other techniques.…”

Section: Uwb-ofdm Telecommunication Toolmentioning

confidence: 98%

“…In our previous work, [26], we presented a survey based on the results acquired during the bibliography phase. This survey showed that most approaches use only accuracy as a criterion for choosing an efficient indoor positioning system.…”

Section: B Indoor Localization Criteriamentioning

confidence: 99%

“…The second one uses the mathematical model of received signal strength (Friis equation) as a basis for estimating distances between static access points (SAPs) and users. Second [26] ultrawideband UWB is a technique developed to transfer large amounts of data wirelessly over short distances, over a wide frequency spectrum. The UWB technique can handle the large bandwidth required to carry multiple audio and video streams.…”

Section: Tools Performancementioning

confidence: 99%

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Indoor Localization System Based on Mobile Access Point Model MAPM Using RSS With UWB-OFDM

2022

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Indoor tracking is one of the most attractive topics in communication and information technology. Indoor localization mechanisms can help people for navigating in complex environments. Those with complex structures such as airports, shopping malls, hospitals, and others have a massive population (Crowdsourcing) that blocks the visibility (NLOS) between the access points and the users. Accordingly, we present the mobile access point model MAPM as a new algorithm for positioning users indoors based on the mathematical model of received signal strength RSS using UWB-OFDM. MAPM participates in crowdsourcing indoors by using users as mobile access points (MAP). That may decrease the use of several static access points (SAP) indoors and increase the localization precision. First, we use ultra-wideband UWB with orthogonal frequency division multiplexing OFDM as a communication gadget between the users and the system. Those have good quality in terms of accuracy, time response, energy consumption, and efficiency against interference. Second, we measure the received signal strength then, we estimate the distance between users and the access points using the mathematical model of RSS. These can be more adapted to changing environments and device heterogeneity than RSSI fingerprints. Third, we calculate the position information by using the Euclidean distance formula. In this way, we can reduce the effect of most of the problems on the indoor positioning system. We simulate the proposed algorithm in a platform based on three tools, MATLAB for system information processing, MYSQL as a system database, and a control interface coded in Java. In the given simulation results, we find that the average MAPM error in the case of 30 users is 10.19 cm, and the detection rate has a value of 86.66%.

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Section: Discussion and Resultsmentioning

confidence: 99%

Section: Uwb-ofdm Telecommunication Toolmentioning

confidence: 98%

Section: B Indoor Localization Criteriamentioning

confidence: 99%

Section: Tools Performancementioning

confidence: 99%

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Indoor Localization System Based on Mobile Access Point Model MAPM Using RSS With UWB-OFDM

2022

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“…Ultra-wideband (UWB) based on IEEE 802.15.4z has emerged as a leading choice for high-accuracy device-based indoor localization [7]. With its sub-nanosecond pulses and the resulting superior time resolution, UWB enables precise time-of-flight (ToF) measurements [8], allowing for accurate distance estimation and ranging.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a Non-Coherent Ultra-Wideband Transceiver for Micropower Sensor Nodes

Imfeld,

Cortesi,

Mayer

et al. 2023

2023 Ieee Sensors

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Spatial and contextual awareness has the potential to revolutionize sensor nodes, enabling spatially augmented data collection and location-based services. With its high bandwidth, superior energy efficiency, and precise time-of-flight measurements, ultra-wideband (UWB) technology emerges as an ideal solution for such devices.This paper presents an evaluation and comparison of a noncoherent UWB transceiver within the context of highly energyconstrained wireless sensing nodes and pervasive Internet of Things (IoT) devices. Experimental results highlight the unique properties of UWB transceivers, showcasing efficient data transfer ranging from 2 kbit/s to 7.2 Mbit/s while reaching an energy consumption of 0.29 nJ/bit and 1.39 nJ/bit for transmitting and receiving, respectively. Notably, a ranging accuracy of up to ±25 cm can be achieved. Moreover, the peak power consumption of the UWB transceiver is with 6.7 mW in TX and 23 mW in RX significantly lower than that of other commercial UWB transceivers.

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The Indoor Localization System Based on Federated Learning and RSS Using UWB-OFDM

Ibnatta

Khaldoun

Sadik

2023

Lecture Notes in Networks and Systems

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Exposure and Evaluation of Different Indoor Localization Systems

Cited by 3 publications

References 28 publications

Indoor Localization System Based on Mobile Access Point Model MAPM Using RSS With UWB-OFDM

Indoor Localization System Based on Mobile Access Point Model MAPM Using RSS With UWB-OFDM

Evaluation of a Non-Coherent Ultra-Wideband Transceiver for Micropower Sensor Nodes

The Indoor Localization System Based on Federated Learning and RSS Using UWB-OFDM

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