Review of photometric flicker metrics and measurement methods for LED lighting

Shailesh, K R; Shailesh, K R

doi:10.1109/icaccs.2017.8014600

Cited by 10 publications

(7 citation statements)

References 19 publications

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“…While this study focused on visible stroboscopic flickering, some light sources are known to exhibit chromatic flickering associated with changing color spectrum [10], which is an interesting topic for future work. Furthermore, some indoor locations are often illuminated with multiple light sources simultaneously resulting in an arbitrary superposition of multiple light waveforms, which may have an impact on the accuracy.…”

Section: Discussionmentioning

confidence: 99%

“…1, the flicker waveform may have non-sinusoidal form characterised by a maximum, minimum and average value within a single cycle. Although the light sources also exhibit chromatic flickering associated with changing color spectrum [10], this study focuses on visible and stroboscope flickering. The amount of flickering is characterised by percent flicker and flicker index parameters as defined below [10] :…”

Section: Led and Fluorescent Light Operationmentioning

confidence: 99%

“…1. Many LED bulb manufacturers specify the percent flicker to be less than 30% in the 100-120 Hz frequency range [10]. CFL lamps with magnetic ballasts have relatively high flicker of 37-70% while CFL bulbs with electronic ballast have a flicker of 5%.…”

Section: Led and Fluorescent Light Operationmentioning

confidence: 99%

“…It is well known that indoor LED and compact fluorescent light sources exhibit flicker, which has been mostly seen as nuisance due to interference on visible light communication, video recording [6], detrimental impact on productivity [7] and health concerns [8] [6]. The flicker has been studied mainly within the context of light quality improvement [9] or ergonomics with numerous works on flicker characterisation [10] or minimising distortions [11]. However, investigating this phenomenon in the context of indoor localization has received little attention.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Passive Localization Through Light Flicker Fingerprinting

Munir

Dyo

2019

IEEE Sensors J.

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In this paper, we show that the flicker waveforms of various CFL and LED lamp models exhibit distinctive waveform patterns due to harmonic distortions of rectifiers and voltage regulators, the key components of modern lamp drivers. We then propose a passive localization technique based on fingerprinting these distortions that occur naturally in indoor environments and thus requires no infrastructure or additional equipment. The novel technique uses principal component analysis (PCA) to extract the most important signal features from the flicker frequency spectra followed by kNN clustering and neural network classifiers to identify a light source based on its flicker signature. The evaluation on 39 flicker patterns collected from 8 residential locations demonstrates that the technique can identify a location within a house with up to 90% accuracy and identify an individual house from a set of houses with an average accuracy of 86.3%.

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Section: Discussionmentioning

confidence: 99%

Section: Led and Fluorescent Light Operationmentioning

confidence: 99%

Section: Led and Fluorescent Light Operationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Passive Localization Through Light Flicker Fingerprinting

Munir

Dyo

2019

IEEE Sensors J.

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“…, then the rest of τ * i variables and z * i are computed as discussed previously, and the optimality is examined by finding ν i , o i ∀i from (29) and (30). Scenario B: when j > , z * i can be expressed in terms of τ * i i ≤ based on Case 1 using (33), where U 1 {1, .…”

Section: A Illumination Maximization Problemmentioning

confidence: 99%

Spectral-Efficiency—Illumination Pareto Front for Energy Harvesting Enabled VLC Systems

Abdelhady

Amin

Chaaban

et al. 2019

IEEE Trans. Commun.

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The continuous improvement in optical energy harvesting devices motivates the development of visible light communication systems that utilize such available free energy. In this paper, an outdoor visible light communications (VLC) system is considered where a VLC base station sends data to multiple users that are capable of harvesting optical energy. The proposed VLC system serves multiple users using time division multiple access (TDMA) with unequal time and power allocation, which are allocated to achieve the system communications and illumination objectives. In an outdoor setup, the system lighting objective is to maximize the average illumination flux, while the communication design objective is to maximize the spectral efficiency (SE). A multiobjective optimization problem is formulated to obtain the Pareto front of the SE-illumination region. To this end, the marginal optimization problems are solved first using low complexity algorithms. Then, based on the proposed algorithms, a Karush-Kuhn-Tucker-based algorithm is developed to obtain an inner bound of the Pareto front for the SE-illumination tradeoff. The inner bound for the Pareto-front is shown to be close to the optimal Pareto-frontier via several simulation scenarios for different system parameters.

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