A Visible Light Positioning system using Frequency Division Multiple Access with square waves

Lausnay, Steven De; Strycker, Lieven De; Goemaere, Jean Pierre; Stevens, Nobby; Nauwelaers, Bart

doi:10.1109/icspcs.2015.7391787

Cited by 34 publications

(40 citation statements)

References 15 publications

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“…The current was digitized using National Instrument's USB-6212 DAQ device. A fast Fourier transform (FFT) based demodulation was used to extract the received power values for each LED in MATLAB R , as specified in [24]. A block diagram of the experimental setup is also shown in Figure 4b.…”

Section: Experimental Validation: Configurationmentioning

confidence: 99%

A Novel 3D Visible Light Positioning Method Using Received Signal Strength for Industrial Applications

et al. 2019

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In this paper, a novel three-dimensional (3D) indoor visible light positioning (VLP) algorithm using the Cayley–Menger determinant (CMD) with a cost function is proposed and experimentally tested to track a drone for industrial applications. The proposed algorithm uses optical received signal strength (RSS) for estimating the drone’s 3D position without prior knowledge of its height. This reduces the need for additional height sensors used in some 3D VLP systems. The performance of the proposed algorithm in terms of positioning error is also compared with a linear least squares (LLS) trilateration algorithm, with and without tilting of the receiver and with multipath reflections. The simulation results show that the proposed algorithm is more accurate and outperforms the LLS algorithm by a median improvement of 21% and is also more robust to the effect of tilting, as well as in the presence of multipath reflections. Furthermore, the proposed algorithm has been experimentally tested and compared with the LLS algorithm in a VLP test bed measuring 4 × 4 × 4.1 m 3 . The experimental results show that the median errors for LLS are 11.4 cm, while the median errors for CMD are 10.5 cm, which results in an error decrease of 8% when CMD with a cost function is used.

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Section: Experimental Validation: Configurationmentioning

confidence: 99%

A Novel 3D Visible Light Positioning Method Using Received Signal Strength for Industrial Applications

et al. 2019

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“…Their current magnitudes are [600, 750, 750, 750] mA and their frequencies are chosen as f i = 2 i−1 • f 0 , with i = 1..4 and f 0 equal to 500 Hz. As such, the contributions of the different LEDs can be demultiplexed at the receiver side [14].…”

Section: Vlp Configurationmentioning

confidence: 99%

Three-dimensional Visible Light Positioning: an Experimental Assessment of the Importance of the LEDs’ Locations

David

Bastiaens

Ijaz

et al. 2019

2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN)

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This paper assesses the accuracy of a threedimensional Visible Light Positioning (VLP) algorithm for two different Light Emitting Diode (LED) configurations using the same four LEDs, but mounted at different locations on the ceiling. The two configurations are both simulated and measured at 22801 test points. It is observed that a classic square LED configuration results in position ambiguities, causing errors up to several meters. Alternatively, a star-shaped LED configuration is able to uniquely reconstruct the photodiode's location. For LEDs at a height of approximately 3 m above the receiver, median errors of 12.7 cm and maximal errors of 21.1 cm are experimentally obtained, showcasing the applicability of 3D VLP for drone navigation.

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“…The LEDs are intensity modulated as to transmit signals, whose contributions to the received photocurrent I P D are demultiplexable at the receiver (using appropriate modulation techniques, see e.g. [23], [24]). Both the LED coordinates and all needed demultiplexing information is assumed to be provided to the receiver.…”

Section: System Descriptionmentioning

confidence: 99%

Response Adaptive Modelling for Reducing the Storage and Computation of RSS-Based VLP

Bastiaens

David

Martens

et al. 2018

2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)

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The precise (location) tracking of automated guided vehicles will be key in enlarging the productivity, efficiency and safety in the connected warehouse or production infrastructure. Combining the modest price tag, the adequate coverage and the potential centimetre accuracy makes Visible Light Positioning (VLP) systems appealing as replacements for the current, high-cost, tracking systems. Model-fingerprinting-based received signal strength (RSS) VLP enables the required accuracy. It requires an elaborate optical channel model fingerprinted in a fine-grained, and predefined positioning grid. Depending on the grid's granularity, constructing the fingerprint database demands a significant computation and storage effort. This paper employs response adaptive or sequential experimental design to form sparse channel models, vastly reducing the storage and computation. It is shown that model-fingerprinting-based RSS only requires modelling less than 1 percent of the grid points, in an elementary positioning cell. The sparse model can be re-evaluated as a way to cope with environment changeover. Model recomputation as a way of compensating for LED ageing is also studied.

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A Visible Light Positioning system using Frequency Division Multiple Access with square waves

Cited by 34 publications

References 15 publications

A Novel 3D Visible Light Positioning Method Using Received Signal Strength for Industrial Applications

A Novel 3D Visible Light Positioning Method Using Received Signal Strength for Industrial Applications

Three-dimensional Visible Light Positioning: an Experimental Assessment of the Importance of the LEDs’ Locations

Response Adaptive Modelling for Reducing the Storage and Computation of RSS-Based VLP

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