Combining multiple sub-1 GHz frequencies in Radio Tomographic Imaging

Denis, Stijn; Berkvens, Rafael; Ergeerts, Glenn; Bellekens, Ben; Weyn, Maarten

doi:10.1109/ipin.2016.7743620

Cited by 8 publications

(6 citation statements)

References 14 publications

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“…Using only four nodes, the naive Bayesian classifier becomes capable of obtaining a root mean square error of only 48 cm. In our earlier DFL-research, which was on the topic of Radio Tomographic Imaging, a combination of these two frequencies proved to be superior to a single-frequency system as well [23].…”

Section: Constructing a Single Fingerprinting Database Based On All Tmentioning

confidence: 94%

Device-Free Localization and Identification Using Sub-GHz Passive Radio Mapping

et al. 2020

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The research domain of device-free localization (DFL) is centered on the study of localization techniques which do not require targets to wear any kind of device. Passive radio mapping or passive fingerprinting is an example of a training-based DFL technique which uses the impact of a human target on radio frequency (RF) communication between stationary nodes to perform localization. We describe a set of experiments performed in a 42 m2 empty office environment in which we installed a RF network with nodes communicating on the 433 MHz and 868 MHz bands. We attempted to locate a single stationary human target based solely on signal strength measurements and did so for six different participants using two different fingerprinting methods. One method was based on Euclidean distance minimization while the other made use of a naive Bayesian classifier. We investigated the impact of frequency band, number of nodes and target body type on localization accuracy. Results indicated that a root mean square error of 48 cm could be obtained with only four nodes, provided that the data from both frequency bands was combined. Additionally, we investigated the potential of these fingerprinting approaches to distinguish between targets based on body type and perform a rudimentary form of passive identification. Accuracy rates for identification could vary significantly depending on target location, with results ranging from 0.07 to 0.75 in the exact same environment. However, the experiment participant with the lowest height and weight could be distinguished from the other participants in over 90% of cases.

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Section: Constructing a Single Fingerprinting Database Based On All Tmentioning

confidence: 94%

Device-Free Localization and Identification Using Sub-GHz Passive Radio Mapping

et al. 2020

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“…IEEE 802.15.4 was the technology used in [ 32 , 33 , 34 ]. Proprietary sub-GHz DFL systems were proposed in [ 11 , 35 ]. UWB CIR were proposed in [ 7 , 24 , 36 , 37 , 38 ].…”

Section: System Designmentioning

confidence: 99%

MA-RTI: Design and Evaluation of a Real-World Multipath-Assisted Device-Free Localization System

Cimdins

Schmidt

John

et al. 2023

Sensors

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Device-free localization (DFL) systems exploit changes in the radio frequency channel by measuring, for example, the channel impulse response (CIR), to detect and localize obstacles within a target area. However, due to a lack of well-defined interfaces, missing modularization, as well as complex system configuration, it is difficult to deploy DFL systems outside of laboratory setups. This paper focused on the system view and the challenges that come with setting up a DFL system in an indoor environment. We propose MA-RTI, a modular DFL system that is easy to set up, and which utilizes a multipath-assisted (MA) radio-tomographic imaging (RTI) algorithm. To achieve a modular DFL system, we proposed and implemented an architectural model for DFL systems. For minimizing the configuration overhead, we applied a 3D spatial model, that helps in placing the sensors and calculating the required calibration parameters. Therefore, we configured the system solely with idle measurements and a 3D spatial model. We deployed such a DFL system and evaluated it in a real-world office environment with four sensor nodes. The radio technology was ultra-wideband (UWB) and the corresponding signal measurements were CIRs. The DFL system operated with CIRs that provided a sub-nanosecond time-domain resolution. After pre-processing, the update rate was approximately 46 Hz and it provided a localization accuracy of 1.0 m in 50 % of all cases and 1.8 m in 80 % of all cases. MA fingerprinting approaches lead to higher localization accuracy, but require a labor-intensive training phase.

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“…The use of other frequency bands could potentially offer interesting benefits, however. Sub-GHz frequencies, in particular, have been hypothesized to improve the energy efficiency of RTI systems [70] and be usable for larger environments given their increased range [71]. Furthermore, these frequencies generally have better penetration capabilities for through-wall scenarios.…”

Section: Trackingmentioning

confidence: 99%

“…We investigated the combination of multiple sub-GHz frequencies for RTI ourselves in [71]. 20 RF transceivers capable of communicating with each other through the DASH7 alliance protocol [56] were installed in an empty classroom environment of 60 m 2 .…”

Section: Trackingmentioning

confidence: 99%

A Survey on Detection, Tracking and Identification in Radio Frequency-Based Device-Free Localization

Denis

Berkvens

Weyn

2019

Sensors

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The requirement of active localization techniques to attach a hardware device to the targets that need to be located can be difficult or even impossible for certain applications. For this reason, there has been an increasing interest in tagless or device-free localization (DFL) approaches. In particular, the research domain of RF-based device-free localization has been steadily evolving since its inception slightly over a decade ago. Many novel techniques have been developed regarding the three core aspects of DFL: detection, tracking, and identification. The increasing use of channel state information (CSI) has contributed considerably to these developments. In particular, the progress it enabled regarding the exceptionally difficult ‘identification problem’ has been highly impressive. In this survey, we provide a comprehensive overview of this evolutionary process, describe essential DFL concepts and highlight several key techniques whose creation marked important milestones within this field of research. We do so in a structured manner in which each technique is categorized according to the DFL core aspect it emphasizes most. Additionally, we discuss current blocking issues within the state-of-the-art and suggest multiple high-level research directions which will aid in the search towards eventual solutions.

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Combining multiple sub-1 GHz frequencies in Radio Tomographic Imaging

Cited by 8 publications

References 14 publications

Device-Free Localization and Identification Using Sub-GHz Passive Radio Mapping

Device-Free Localization and Identification Using Sub-GHz Passive Radio Mapping

MA-RTI: Design and Evaluation of a Real-World Multipath-Assisted Device-Free Localization System

A Survey on Detection, Tracking and Identification in Radio Frequency-Based Device-Free Localization

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