A Theoretical Error Analysis on Indoor TOA Localization Scheme Using Unmanned Aerial Vehicles

Danjo, Azusa; Watase, Yuki; Hara, Shinsuke

doi:10.1109/vtcspring.2015.7145652

Cited by 13 publications

(4 citation statements)

References 6 publications

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“…This technology is mentioned as a separate technology in the review section, but it is depicted in two separate groups. However, in relation to UAV technology, most UAVs acquire location information from either the existing satellite navigation system or from WLAN access points, as mentioned in [31]. Thus, it is possible to be located under the building independent group, but in this case, it will no longer be useful for indoor localization.…”

Section: The Indoor Localization Technologiesmentioning

confidence: 99%

A Hybrid Indoor Positioning Model for Critical Situations Based on Localization Technologies

Mahdi

Chalechale

AbdelRaouf

2022

Mobile Information Systems

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The domains of positioning and tracking have undergone substantial evolution and advancements recently, especially within the concept of the Internet of Things (IoT) and in health care. Unfortunately, neither the current satellite positioning systems nor the standalone cellular systems remain useful for successfully localizing and tracking inside buildings. This paper proposes a new model that could improve the accuracy of localization in indoor environments. In addition, a broad review is conducted to discover the state-of-the-art indoor localization technologies appropriate for disasters and rescue situations. After a comprehensive study, three important technologies that need to be deeply reviewed are identified, which are wireless local area network (WLAN), dead reckoning (DR), and hybrid approaches. Based on these, a novel architecture is introduced that is more convenient to meet the operation of rescuing injured or older people in critical situations, where other technologies might be unavailable or require some extra infrastructures. The proposed model has two modes and selects one of these modes automatically. The first mode assumes the existence of both WLAN signals and smartphone sensors to be used for identifying the position of the object; otherwise, only smartphone sensors will be employed to achieve positioning. Significantly, the designated components and the flow control depicted provide a proper and suitable horizon for the next researchers who desire to develop a new indoor positioning system in this discipline with a low positioning root-mean-squared error on the centimeter scale that can later be incorporated in numerous applications relating to the IoT, health care, and evacuation plans.

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Section: The Indoor Localization Technologiesmentioning

confidence: 99%

A Hybrid Indoor Positioning Model for Critical Situations Based on Localization Technologies

Mahdi

Chalechale

AbdelRaouf

2022

Mobile Information Systems

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“…As mentioned in the paper, this mechanism allows the system to reduce the need for bandwidth and antennas while maintaining high-precision performance. For reducing the number of anchor nodes, Danjo et al [32] achieve indoor positioning on the use of the unmanned aerial vehicle (UAV). The principle of reducing costs by using UAVs for positioning is that UAVs can collect and send signals to targets by moving their own positions.…”

Section: Time Of Arrival (Toa)/time Difference Of Arrival (Tdoa)mentioning

confidence: 99%

Survey on WiFi‐based indoor positioning techniques

et al. 2020

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“…Based upon the above mentioned performances and suitability of localizing environments, this paper particularly summarizes indoor localization approaches with two categories, i.e. proximity and triangulation [5], [11].…”

Section: Reviews On Typical Indoor Localization Approachesmentioning

confidence: 99%

Intelligent RF-Based Indoor Localization through RSSI of LoRa Communication Technology

Muekdang¹,

San-Um²

2018

IJFCC

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Requirements on high-quality indoor localization approaches and the increase in ubiquitous computing and context-dependent have led to an emphasis on a continuous search for promising localization technologies and techniques. Typical RF-Based localization technologies such as Cellular, RFID, Bluetooth, Wi-Fi, Zigbee, and UWB have been widespread studied over the past decades. Recently, LoRa communication technology has suggested as a potential alternative to those of exiting wireless communication standards with low power consumption and low implementation costs. This paper therefore presents an indoor localization technique through the use of Received Signal Strength Indicator (RSSI) of LoRa Technology. The LoRa chip from SEMTECH was implemented on a compact board with built-in antenna. The Arduino microcontroller was employed as a core processor with a step-down switching regulator. Five sets of LoRa nodes were implemented and four of which were utilized as statistic nodes, radiating a signal power from 5meter high from the floor. The receiving node is placed in a particular coordinate on the floor. The RSS values were employed as inputs for Artificial Neural Network (ANN) for estimation of the coordinate of the receiving node. The accuracy was approximately 95%. The result provides satisfactory accuracy with cost-effective and low-power operation as for an alternative for large scales deployments of indoor localization.

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A Theoretical Error Analysis on Indoor TOA Localization Scheme Using Unmanned Aerial Vehicles

Cited by 13 publications

References 6 publications

A Hybrid Indoor Positioning Model for Critical Situations Based on Localization Technologies

A Hybrid Indoor Positioning Model for Critical Situations Based on Localization Technologies

Survey on WiFi‐based indoor positioning techniques

Intelligent RF-Based Indoor Localization through RSSI of LoRa Communication Technology

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