Passive Indoor-Localization using Echoes of Ultrasound Signals

Höflinger, Fabian; Saphala, Addythia; Schott, Dominik Jan; Reindl, Leonhard M.; Schindelhauer, Christian

doi:10.1109/aitc.2019.8921282

Cited by 14 publications

(9 citation statements)

References 12 publications

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“…On the basis of Angle of Arrival (AoA), the attachment of an infrared sensor to a shopping cart allows its localization with an error level of ±0.6m [2]. In addition, infrared offers the advantage of high data throughput of up to 12.5Gb/s [3] [4,9].…”

Section: A State Of the Artmentioning

confidence: 99%

“…In contrast, sound navigation and ranging (sonar), as a passive approach of the Ultrasound technology, uses the reflections of its emitted signals for the ranging. Based on the same principle, recent studies managed to track an object in a test environment by recording its echoes [9]. In order to identify the actual echoes of the object, the experimental setup requires a previous calibration.…”

Section: A State Of the Artmentioning

confidence: 99%

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Evaluation of Ultra Wide Band Technology as an Enhancement for BLE Based Location Estimation

Bilge¹

2022

Preprint

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In the scope of this paper, the precise positioning of objects with the help of Ultra Wide Band technology is evaluated. To achieve this, a prototype module for the use with the Decawave transceiver DW1000 was implemented and added to FruityMesh, an Internet of Things (IoT) mesh network of the company M-Way Solutions. The focus of the network is low-power communication based on Bluetooth Low Energy (BLE). This includes, for example, Building Automation, Lighting Management and Asset Tracking. Especially the last stated point benefits from a position tracking as precise as possible and a long battery life. Therefore, FruityMesh is used to perform a signalstrength based localization with the existing BLE messages. Due to absorption, interference, and diffraction, these measurements tend to fluctuate and allow a positioning accuracy within ±1.5m. With the integration of Ultra Wide Band and the Time of Arrival (ToA) method, a centimeter-precise localization was made possible in the course of this work, which at the same time causes only small additional costs in general. Since the connection of extra hardware is associated with decreased energy efficiency, an algorithm for optimizing the control was first developed and then tested against the created scenarios. In addition to the motion-based control of the hardware, various configurations and adjustments were analyzed to reduce the power consumption by Ultra-Wideband (UWB) transmission. Finally, the developed prototype was compared with a realistic reproduction of the existing Asset Tracking to evaluate the benefits for the use in the productive application.

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Section: A State Of the Artmentioning

confidence: 99%

Section: A State Of the Artmentioning

confidence: 99%

Evaluation of Ultra Wide Band Technology as an Enhancement for BLE Based Location Estimation

Bilge¹

2022

Preprint

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“…Source localization based on location-bearing information gathered at spatially separated sensors [18] plays a pivotal role in many science and engineering areas such as cellular networks [15], Internet of Things [31], and wireless sensor networks [24]. Being perhaps the most popular measurement model, time-of-arrival (TOA) defined as the one-way travel time of the signal between the emitting source and a sensor has co-existed with numerous communication technologies for positioning ranging across ZigBee [5], radiofrequency identification device [3], ultra-wideband (UWB) [16], and ultrasound [9] and will be the main focus herein.…”

Section: Introductionmentioning

confidence: 99%

Maximum Correntropy Criterion for Robust TOA-Based Localization in NLOS Environments

Xiong

Schindelhauer

et al. 2021

Circuits Syst Signal Process

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We investigate the problem of time-of-arrival (TOA)-based localization under possible non-line-of-sight (NLOS) propagation conditions. To robustify the squared-range-based location estimator, we follow the maximum correntropy criterion, essentially the Welsch M-estimator with a redescending influence function which behaves like $$\ell _0$$ ℓ 0 -minimization toward the grossly biased measurements, to derive the formulation. The half-quadratic technique is then applied to settle the resulting optimization problem in an alternating maximization (AM) manner. By construction, the major computational challenge at each AM iteration boils down to handling an easily solvable generalized trust region subproblem. It is worth noting that the implementation of our localization method requires nothing but merely the TOA-based range measurements and sensor positions as prior information. Simulation and experimental results demonstrate the competence of the presented scheme in outperforming several state-of-the-art approaches in terms of positioning accuracy, especially in scenarios, where the percentage of NLOS paths is not large enough.

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“…For some applications, it may not be desirable to equip persons or objects with additional hardware as trackers due to inconvenience and privacy reasons. Previously, we reported coarsely about indoor localization by Direct Intersection in [ 4 ]. In this work, we report in detail on two algorithms for this application and their performances.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Direct Intersection and Sonogram Methods for Acoustic Indoor Localization of Persons

Schott

Saphala

Fischer

et al. 2021

Sensors

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We discuss two methods to detect the presence and location of a person in an acoustically small-scale room and compare the performances for a simulated person in distances between 1 and 2 m. The first method is Direct Intersection, which determines a coordinate point based on the intersection of spheroids defined by observed distances of high-intensity reverberations. The second method, Sonogram analysis, overlays all channels’ room impulse responses to generate an intensity map for the observed environment. We demonstrate that the former method has lower computational complexity that almost halves the execution time in the best observed case, but about 7 times slower in the worst case compared to the Sonogram method while using 2.4 times less memory. Both approaches yield similar mean absolute localization errors between 0.3 and 0.9 m. The Direct Intersection method performs more precise in the best case, while the Sonogram method performs more robustly.

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Passive Indoor-Localization using Echoes of Ultrasound Signals

Cited by 14 publications

References 12 publications

Evaluation of Ultra Wide Band Technology as an Enhancement for BLE Based Location Estimation

Evaluation of Ultra Wide Band Technology as an Enhancement for BLE Based Location Estimation

Maximum Correntropy Criterion for Robust TOA-Based Localization in NLOS Environments

Comparison of Direct Intersection and Sonogram Methods for Acoustic Indoor Localization of Persons

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