ToF-based Indoor Positioning for Low-power IoT Nodes

Neunteufel, Daniel; Fuchs, Andreas; Arthaber, Holger

doi:10.1109/ieeeconf51394.2020.9443431

Cited by 5 publications

(4 citation statements)

References 8 publications

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“…The nodes allowed for cooperative RSS measurements between each pair of nodes by using a proprietary protocol and transmission in the ISM band at 2.4 GHz. The WB measurements were conducted according to a protocol described in detail in [4,38]. To further validate results, we used WB measurement data from a scenario corresponding to our simulations.…”

Section: Experimental Validationmentioning

confidence: 99%

“…Radio-based indoor localization is an increasingly important research topic, as many modern electronic devices are dependent on robust and accurate position information to provide location-dependent services and applications. Exemplary applications include positioning in retail scenarios guiding costumers to products they are looking for, tracking medical devices in healthcare environments, providing guests of museums with accurate position-dependent interactive tours, tracking articles in warehouses and logistic centers, and many more [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

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Wideband TDoA Positioning Exploiting RSS-Based Clustering

Fuchs

Wielandner

Neunteufel

et al. 2023

Sensors

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The accuracy of radio-based positioning is heavily influenced by a dense multipath (DM) channel, leading to poor position accuracy. The DM affects both time of flight (ToF) measurements extracted from wideband (WB) signals—specifically, if the bandwidth is below 100 MHz—as well as received signal strength (RSS) measurements, due to the interference of multipath signal components onto the information-bearing line-of-sight (LoS) component. This work proposes an approach for combining these two different measurement technologies, leading to a robust position estimation in the presence of DM. We assume that a large ensemble of densely-spaced devices is to be positioned. We use RSS measurements to determine “clusters” of devices in the vicinity of each other. Joint processing of the WB measurements from all devices in a cluster efficiently suppresses the influence of the DM. We formulate an algorithmic approach for the information fusion of the two technologies and derive the corresponding Cramér-Rao lower bound (CRLB) to gain insight into the performance trade-offs at hand. We evaluate our results by simulations and validate the approach with real-world measurement data. The results show that the clustering approach can halve the root-mean-square error (RMSE) from about 2 m to below 1 m, using WB signal transmissions in the 2.4 GHz ISM band at a bandwidth of about 80 MHz.

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Section: Experimental Validationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wideband TDoA Positioning Exploiting RSS-Based Clustering

Fuchs

Wielandner

Neunteufel

et al. 2023

Sensors

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“…The output of the matched filter resembles the individual radio channel impulse responses and carries the full information required for transmitter localization. Details on the described method, measured chirp data, and extracted pulses from the CC2510 are presented in [ 13 ].…”

Section: Localization Schemementioning

confidence: 99%

“…In our previous work, we demonstrated a way to overcome the fundamental limitation of ToF-based localization of narrowband transceiver chips [ 12 , 13 ]. The proposed method requires only a firmware update and no changes to existing node hardware.…”

Section: Introductionmentioning

confidence: 99%

Indoor Positioning of Low-Cost Narrowband IoT Nodes: Evaluation of a TDoA Approach in a Retail Environment

Neunteufel

Grebien

Arthaber

2022

Sensors

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The localization of iot nodes in indoor scenarios with strong multipath channel components is challenging. All methods using radio signals, such as rss or aoa, are inherently prone to multipath fading. Especially for tof measurements, the low available transmit bandwidth of the used transceiver hardware is problematic. In our previous work on this topic we showed that wideband signal generation on narrowband low-power transceiver chips is feasible without any changes to existing hardware. Together with a fixed wideband receiving anchor infrastructure, this facilitates tdoa and aoa measurements and allows for localization of the fully asynchronously transmitting nodes. In this paper, we present a measurement campaign using a receiver infrastructure based on sdr platforms. This proves the actual usability of the proposed method within the limitations of the bandwidth available in the ism band at 2.4GHz. We use the results to analyze the effects of possible anchor placement schemes and scenario geometries. We further demonstrate how this node-to-infrastructure-based localization scheme can be supported by additional node-to-node rss measurements using a simple clustering approach. In the considered scenario, an overall positioning rmse of 2.19m is achieved.

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