Flexible Arbitrary Signal Generation and Acquisition System for Compact Underwater Measurement Systems and Data Fusion

John, Fabian; Schmidt, Sven Ole; Hellbrück, Horst

doi:10.23919/oceans44145.2021.9705710

Cited by 6 publications

(2 citation statements)

References 6 publications

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“…The format of the data is selected flexibly, since the data are not interpreted on the broker. We have decided on a binary format for the data, because in contrast to ASCII characters, the transmission speed is increased [ 32 ]. The subscriber is able to subscribe to topics freely.…”

Section: Figure A1mentioning

confidence: 99%

SALOS—A UWB Single-Anchor Indoor Localization System Based on a Statistical Multipath Propagation Model

Schmidt,

Cimdins,

John

et al. 2024

Sensors

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Among other methods, UWB-based multi-anchor localization systems have been established for industrial indoor localization systems. However, multi-anchor systems have high costs and installation effort. By exploiting the multipath propagation of the UWB signal, the infrastructure and thus the costs of conventional systems can be reduced. Our UWB Single-Anchor Localization System (SALOS) successfully pursues this approach. The idea is to create a localization system with sophisticated signal modeling. Therefore, measured reference, like fingerprinting or training, is not required for position estimation. Although SALOS has already been implemented and tested successfully in an outdoor scenario with multipath propagation, it has not yet been evaluated in an indoor environment with challenging and hardly predictable multipath propagation. For this purpose, we have developed new algorithms for the existing hardware, mainly a three-dimensional statistical multipath propagation model for arbitrary spatial geometries. The signal propagation between the anchor and predefined candidate points for the tag position is modeled in path length and complex-valued receive amplitudes. For position estimation, these modeled signals are combined to multiple sets and compared to UWB measurements via a similarity metric. Finally, a majority decision of multiple position estimates is performed. For evaluation, we implement our localization system in a modular fashion and install the system in a building. For a fixed grid of 20 positions, the localization is evaluated in terms of position accuracy. The system results in correct position estimations for more than 73% of the measurements.

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Section: Figure A1mentioning

confidence: 99%

SALOS—A UWB Single-Anchor Indoor Localization System Based on a Statistical Multipath Propagation Model

Schmidt,

Cimdins,

John

et al. 2024

Sensors

Self Cite

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“…This architecture enables applications with weak dependencies between publishers and subscribers. In general, MQTT is ideal for usage in constrained environments with high latency or low bandwidth, respectively, as well as on embedded systems with limited memory and processing capabilities, which are critical aspects of Internet of Things (IoT) applications [ 42 , 43 ]. Furthermore, in contrast to HTTP with its document-centric request/response paradigm, MQTT permits lower power consumption and less protocol overhead [ 44 ].…”

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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Multisensor Platform for Underwater Object Detection and Localization Applications

John¹,

Schmidt²,

Hellbrück³

2022

OCEANS 2022, Hampton Roads

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Flexible Arbitrary Signal Generation and Acquisition System for Compact Underwater Measurement Systems and Data Fusion

Cited by 6 publications

References 6 publications

SALOS—A UWB Single-Anchor Indoor Localization System Based on a Statistical Multipath Propagation Model

SALOS—A UWB Single-Anchor Indoor Localization System Based on a Statistical Multipath Propagation Model

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

Multisensor Platform for Underwater Object Detection and Localization Applications

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