Light-to-input nonlinearities in an R-LED series network

Theofanous, N.; Arapoyianni, A.

doi:10.1109/3.119491

Cited by 8 publications

(4 citation statements)

References 8 publications

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“…This occurs because the relationship between the variables involved with the brake light light emission process is entirely nonlinear. The analyses presented in Asatani and Kimura (1978) and Theofanous and Arapoyianni (1992) suggest that this nonlinear characteristic can be attributed to several factors related to the SMD LED, such as doping concentration, thermal resistance, and carrier confinement breakdown due to insufficient heterointerface barrier height.…”

Section: Smd Led Applied In Brake Lightsmentioning

confidence: 96%

Neural network model for designing automotive devices using SMD LED

Ortega

Silva

2008

Int.J Automot. Technol.

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The advantages offered by the electronic component LED (Light Emitting Diode) have resulted in a quick and extensive application of this device in the replacement of incandescent lights. In this combined application, however, the relationship between the design variables and the desired effect or result is very complex and renders it difficult to model using conventional techniques. This paper consists of the development of a technique using artificial neural networks that makes it possible to obtain the luminous intensity values of brake lights using SMD (Surface Mounted Device) LEDs from design data. This technique can be utilized to design any automotive device that uses groups of SMD LEDs. The results of industrial applications using SMD LED are presented to validate the proposed technique.

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Section: Smd Led Applied In Brake Lightsmentioning

confidence: 96%

Neural network model for designing automotive devices using SMD LED

Ortega

Silva

2008

Int.J Automot. Technol.

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“…This issue is unique to LED input signal which must be non-negative valued, so that all the elements in the first order vectors Ψ 1 0 and Ψ 1 1 have the IEEE Photonics Journal Orthogonal Polynomial Based Nonlinearity Modelling and Mitigation for LED Communications same signs (please refer to equation (10)). The high correlation between Ψ 1 0 and Ψ 1 1 needs to be addressed, otherwise it will still cause ill condition of matrix Ψ H Ψ, thereby resulting in numerical instability and noise enhancement in the LS estimation in (7). To avoid the issue, we remove the first order vector Ψ 1 1 from Ψ, leading to a new basis matrix Ψ ′ .…”

Section: Orthogonal Polynomial Based Led Nonlinearity Modellingmentioning

confidence: 97%

“…At the receiver side, the intensity of the light is detected by photo detector (PD) and converted to electric signals [5]. However, the inherent nonlinearity of LEDs causes nonlinear distortions and LED is the major source of nonlinearity of LED communication systems [6], [7]. The nonlinear behaviour of the LED transfer function distorts the amplitude of the signal, and lower peak signals are forced to be the minimum LED turn-on voltage while higher peak signals are clipped to avoid reaching the maximum permissible voltage [8]- [10].…”

Section: Introductionmentioning

confidence: 99%

Orthogonal Polynomial-Based Nonlinearity Modeling and Mitigation for LED Communications

et al. 2016

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Light-emitting diode (LED) is the major source of nonlinearity in LED communications, and the nonlinearity needs to be modelled effectively and thereby mitigated through predistortion or postdistortion to avoid degradation of communication performance. Memory polynomial is often used for LED nonlinearity modelling and mitigation in the literature. However, the estimation of memory polynomial coefficients suffers from numerical instability, resulting in inaccurate modelling and poor performance in nonlinearity mitigation. In this work, we propose an orthogonal polynomial based nonlinearity modelling and mitigation technique for LED communications with PAM signalling and show that the proposed technique significantly outperforms the conventional memory polynomial based techniques.

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“…In [4] and [5], the nonlinear behavior of the LED was discussed in detail. The nonlinear characteristics of the LED's V -I curve are shown in the blue line in Fig.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Postdistortion for Nonlinear LEDs in Visible Light Communications

et al. 2014

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In a visible light communication (VLC) system, the light-emitting diode (LED) is the major source of nonlinearity. The nonlinear effects in the VLC system are different from the conventional wireless communications system. The channel separation in the VLC system is significantly larger than the signal bandwidth; thus, the adjacent channel interference is not an issue. Predistortion technique may not be a cost-efficient approach since it needs additional feedback physical circuits at the transmitter. In this paper, we propose a postdistortion technique to estimate and compensate for the LED's nonlinearity at the receiver. The postdistortion technique only needs some additional computational resources. In addition, the proposed approach significantly improves the error-vector-magnitude and bit-error-rate performance of the VLC system. Simulation results validate the theoretical analysis.

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Light-to-input nonlinearities in an R-LED series network

Cited by 8 publications

References 8 publications

Neural network model for designing automotive devices using SMD LED

Neural network model for designing automotive devices using SMD LED

Orthogonal Polynomial-Based Nonlinearity Modeling and Mitigation for LED Communications

Adaptive Postdistortion for Nonlinear LEDs in Visible Light Communications

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