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Adaptive Software Defined Equalization Techniques for Indoor Visible Light Communication.

Radek Martinek1, Lukas Danys1, Rene Jaros1

  • 1Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech Republic.

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This study demonstrates software-defined equalization for visible light communication (VLC) systems using multistate quadrature amplitude modulation (M-QAM). The QR-RLS algorithm improved performance by up to 10% in real-world simulations and lab tests.

Keywords:
QR decomposition based recursive least squares (RLS)adaptive equalizersfeed-forward software defined equalization (FSDE)multistate quadrature amplitude modulation (M-QAM)software-defined radio (SDR)visible light communication (VLC)

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Area of Science:

  • Optical Communications
  • Signal Processing
  • Software Defined Systems

Background:

  • Visible Light Communication (VLC) systems offer a promising alternative for high-speed data transmission.
  • Multistate Quadrature Amplitude Modulation (M-QAM) is crucial for increasing data rates in VLC.
  • Software Defined Equalization (FSDE) is essential for mitigating channel impairments in M-QAM VLC systems.

Purpose of the Study:

  • To introduce and evaluate a channel feed-forward software defined equalization (FSDE) platform for visible light communication (VLC) systems.
  • To compare the performance of different FSDE algorithms in a multistate quadrature amplitude modulation (M-QAM) VLC system.
  • To validate the accuracy of software simulations against practical laboratory measurements.

Main Methods:

  • Implementation of a modular FSDE platform using LabVIEW and National Instruments Software Defined Radios (NI SDR).
  • Simulation and laboratory testing of the FSDE platform with a commercially available Philips light source.
  • Evaluation of three FSDE algorithms: Least Mean Squares (LMS), Normalized Least Mean Squares (NLMS), and QR decomposition based Recursive Least Squares (QR-RLS).

Main Results:

  • The QR-RLS algorithm demonstrated superior performance, achieving up to a 10% improvement in measured data.
  • Simulated results closely matched real-world laboratory measurements, confirming the platform's validity.
  • The software-defined approach effectively improved data quality through software modifications alone.

Conclusions:

  • The developed FSDE platform provides an effective method for enhancing M-QAM VLC system performance.
  • QR-RLS is the optimal algorithm among those tested for this specific VLC application.
  • The study validates the use of software simulations for predicting real-world performance in VLC systems.