Optical CDMA codes for an indoor localization system using VLC

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

doi:10.1109/iwow.2014.6950775

Cited by 29 publications

(17 citation statements)

References 7 publications

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“…Therefore, the placement of LEDs is significantly affecting the standard deviation of errors across the room with respect to number of clusters. From the results, it can be deduced that our proposed algorithm has superior performance compared with some of the state-of-the-art RSS/hybrid techniques based of RSS [23][24][25][26][27][28][29][30][31][32] ; however, there exist algorithms in literature, which outperforms our proposed algorithm. If we compare our proposed scheme results with those available in literature and limit ourselves to RSS-based techniques with 3D indoor localization scenario, it can be concluded that the proposed results are promising.…”

Section: Standard Deviation For Clustering and Regressionmentioning

confidence: 99%

Visible light‐based indoor localization using k‐means clustering and linear regression

Saadi

Saeed

Ahmad

et al. 2018

Trans Emerging Tel Tech

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Visible light positioning techniques employing received signal strength (RSS)–based fingerprints are becoming popular and ubiquitous. However, RSS is more susceptible to signal degradation and environmental changes resulting in location inaccuracies. To minimize these limitations, clustering in conjunction with linear regression is applied to RSS database made up of light intensity variations of light emitting diodes. Optimum cluster size is determined and trained clusters are exploited for location assessment by curtailing the difference between the database readings and cluster centroids. Regression is then applied on the clustered data, which partitions it further and helps refining the results. Simulation results of the proposed algorithm dictate a significant improvement in location estimation accuracy of up to 40 cm in an indoor environment with the dimensions of 5 m × 5 m × 4 m and exhibit superior performance than many state‐of‐the‐art RSS‐based methods.

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Section: Standard Deviation For Clustering and Regressionmentioning

confidence: 99%

Visible light‐based indoor localization using k‐means clustering and linear regression

Saadi

Saeed

Ahmad

et al. 2018

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…A simple pattern for the placement of LED lamps that is mostly used in indoor environments will be used and is presented in Figure 3. The emission pattern of each LED lamp of Figure 3 follows the Lambertian model, which accurately describes the spatial power diffusion of an LED lamp [43][44][45][46]. Therefore, assuming that the optical power transmitted is Pt, the power at the receiver, Pr, will be given as [43,44]…”

Section: System Modelmentioning

confidence: 99%

Experimental Implementation and Theoretical Investigation of a Vanadium Dioxide Optical Filter for Bit Error Rate Enhancement of Enhanced Space Shift Keying Visible Light Communication Systems

et al. 2019

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Visible Light Communication (VLC) systems use light-emitting diode (LED) technology to provide high-capacity optical links. The advantages they offer, such as the high data rate and the low installation and operational cost, have identified them as a significant solution for modern networks. However, such systems are vulnerable to various exogenous factors, with the background sunlight noise having the greatest impact. In order to reduce the negative influence of the background noise effect, optical filters can be used. In this work, for the first time, a low-cost optical vanadium dioxide (VO2) optical filter has been designed and experimentally implemented based on the requirements of typical and realistic VLC systems in order to significantly increase their performance by reducing the transmittance of background noise. The functionality of the specific filter is investigated by means of its bit error rate (BER) performance estimation, taking into account its experimentally measured characteristics. Numerous results are provided in order to prove the significant performance enhancement of the VLC systems which, as it is shown, reaches almost six orders of magnitude in some cases, using the specific experimental optical filter.

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“…Global positioning system (GPS) has revolutionised the realm of outdoor environment positioning and tracking systems [1][2][3][4], but its usability in the indoor environment is questionable [5,6] owing to attenuation effects and multipath interference [3,7,8]. Radio frequency-based indoor positioning systems (IPS) suffer from electromagnetic (EM) interference [9,10] and give low accuracy [5,11]. IPS based on radio frequency identification and ultrasound require additional infrastructure for its installation [9,10], thus increasing the overall cost of the system.…”

Section: Introductionmentioning

confidence: 99%

“…Radio frequency-based indoor positioning systems (IPS) suffer from electromagnetic (EM) interference [9,10] and give low accuracy [5,11]. IPS based on radio frequency identification and ultrasound require additional infrastructure for its installation [9,10], thus increasing the overall cost of the system. Optical wireless communication (OWC) with light emitting diodes (LEDs) has been touted as the ultimate solution for IPS by many researchers based on advantageous factors such as immunity to EM interference, higher accuracy as compared to other technologies, less complexity and low cost implementation [12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Optical Wireless Communication Based Indoor Positioning Algorithms: Performance Optimisation and Mathematical Modelling

Ajmani¹,

Sinanović²,

Boutaleb³

2018

Computation

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In this paper, the performance of the optimal beam radius indoor positioning (OBRIP) and two-receiver indoor positioning (TRIP) algorithms are analysed by varying system parameters in the presence of an indoor optical wireless channel modelled in line of sight configuration. From all the conducted simulations, the minimum average error value obtained for TRIP is 0.61 m against 0.81 m obtained for OBRIP for room dimensions of 10 m × 10 m × 3 m. In addition, for each simulated condition, TRIP, which uses two receivers, outperforms OBRIP and reduces position estimation error up to 30%. To get a better understanding of error in position estimation for different combinations of beam radius and separation between light emitting diodes, the 90th percentile error is determined using a cumulative distribution frequency (CDF) plot, which gives an error value of 0.94 m for TRIP as compared to 1.20 m obtained for OBRIP. Both algorithms also prove to be robust towards change in receiver tilting angle, thus providing flexibility in the selection of the parameters to adapt to any indoor environment. In addition, in this paper, a mathematical model based on the concept of raw moments is used to confirm the findings of the simulation results for the proposed algorithms. Using this mathematical model, closed-form expressions are derived for standard deviation of uniformly distributed points in an optical wireless communication based indoor positioning system with circular and rectangular beam shapes.

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Optical CDMA codes for an indoor localization system using VLC

Cited by 29 publications

References 7 publications

Visible light‐based indoor localization using k‐means clustering and linear regression

Visible light‐based indoor localization using k‐means clustering and linear regression

Experimental Implementation and Theoretical Investigation of a Vanadium Dioxide Optical Filter for Bit Error Rate Enhancement of Enhanced Space Shift Keying Visible Light Communication Systems

Optical Wireless Communication Based Indoor Positioning Algorithms: Performance Optimisation and Mathematical Modelling

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