Adaptive Software Defined Equalization Techniques for Indoor Visible Light Communication

Sensors

Rene Jaros¹  Radek Martinek¹  Lukas Danys¹ 

[1] Department 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;

关键词: feed-forward software defined equalization (fsde);    visible light communication (vlc);    software-defined radio (sdr);    multistate quadrature amplitude modulation (m-qam);    adaptive equalizers;    qr decomposition based recursive least squares (rls);   

DOI  :  10.3390/s20061618

来源: DOAJ

【 摘 要 】

This paper focuses on a channel feed-forward software defined equalization (FSDE) of visible light communication (VLC) multistate quadrature amplitude modulation (M-QAM) based system, implemented in the LabVIEW programming environment. A highly modular platform is introduced; the whole experiment is simulated in software and then thoroughly explored and analyzed during practical measurements in the laboratory, simulating real-world situations. The whole platform is based on modified National Instruments software defined radios (NI SDR) and a commercially available Philips light source, often used in Czech government institutions. Three FSDE algorithms were tested: least mean squares (LMS), normalized least mean squares (NLMS), and QR decomposition based RLS (QR-RLS). Based on measurements, QR-RLS provides the best results, improving measured values by up to 10%. The experiments also show that the simulated results are very similar to real measurements, thus proving the validity of the chosen approach. The whole platform manages to improve measured data simply by making changes to the software side of the testing prototype.

【 授权许可】

Unknown