Characterization of dynamic distortion in LED light output for optical wireless communications

Anton Alexeev, Jean Paul M.G. Linnartz, Kumar Arulandu, Xiong Deng (Corresponding author)

Research output: Contribution to journalArticleAcademicpeer-review

8 Citations (Scopus)
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Abstract

Light-emitting diodes (LEDs) are widely used for data transmission in emerging optical wireless communications (OWC) systems. This paper analyzes the physical processes that limit the bandwidth and cause nonlinearities in the light output of modern, high-efficiency LEDs. The processes of carrier transport, as well as carrier storage, recombination, and leakage in the active region appear to affect the communications performance, but such purely physics-based models are not yet commonly considered in the algorithms to optimize OWC systems. Using a dynamic modeling of these phenomena, we compile a (invertable) signal processing model that describes the signal distortion and a parameter estimation procedure that is feasible in an operational communications link. We combine multiple approaches for steady-state and dynamic characterization to estimate such LED parameters. We verify that, for a high-efficiency blue GaN LED, the models become sufficiently accurate to allow digital compensation. We compare the simulation results using the model against optical measurements of harmonic distortion and against measurements of the LED response to a deep rectangular current modulation. We show how the topology of the model can be simplified, address the self-calibration techniques, and discuss the limits of the presented approach. The model is suitable for the creation of improved nonlinear equalizers to enhance the achievable bit rate in LED-based OWC systems and we believe it is significantly more realistic than LED models commonly used in communications systems.

Original languageEnglish
Pages (from-to)916-928
Number of pages13
JournalPhotonics Research
Volume9
Issue number6
DOIs
Publication statusPublished - 1 Jun 2021

Bibliographical note

Funding Information:
Funding. National Natural Science Foundation of China (62001174); European Union’s Horizon 2020 (692465); H2020 project Enhance Lighting for the Internet of Things (ELIoT, 825651).

Funding Information:
National Natural Science Foundation of China (62001174); European Union's Horizon 2020 (692465); H2020 project Enhance Lighting for the Internet of Things (ELIoT, 825651).

Funding Information:
Acknowledgment. This research received funding from the European Union’s Horizon 2020 research and innovation program through the H2020 ECSEL project Delphi4LED, the National Natural Science Foundation of China, and the H2020 project, Enhance Lighting for the Internet of Things (ELIoT).

Publisher Copyright:
© 2021 Chinese Laser Press.

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