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2023 9th International Conference on Computer and Communications (ICCC), 2023, p.145-150
2023
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Autor(en) / Beteiligte
Titel
Implementation of a Low-Complexity Pre-Equalizer for Visible Light Communications
Ist Teil von
  • 2023 9th International Conference on Computer and Communications (ICCC), 2023, p.145-150
Ort / Verlag
IEEE
Erscheinungsjahr
2023
Quelle
IEEE Xplore
Beschreibungen/Notizen
  • Recent years have witnessed the rapid development of visible light communications (VLC) for next-generation wireless applications due to its wider bandwidth, higher security, and better electromagnetic immunity compared with conventional radio frequency (RF) microwaves. Although state-of-the-art VLC systems can achieve Gbps data rates by employing equalization schemes, designing a general low-complexity VLC transmitter with hundreds of MHz 3-dB bandwidth is still challenging due to the narrow modulation bandwidth nature of light emitting diodes (LEDs). In this paper, we first present a second-order equivalent circuit model for the LED, based on which we propose a general second-order equalizer (GSE) with low complexities, consisting of less than 5 passive capacitors, inductors, and resistors. We show that the GSE can enlarge the LED transmitter's bandwidth to a few hundred MHz. To validate our GSE, we build a broadband VLC transmitter using commercial-off-the-shelf (COTS) red LED, whose bandwidth is 7 MHz. Experimental results show that our proposed GSE can extend the transmitter's 3-dB bandwidth from 7 MHz to 546 MHz. Furthermore, we demonstrate that our proposed GSE transmitter in a VLC system can achieve 400 Mbps data rates at a distance of 250 cm with a bit error ratio (BER) below the forward error correction (FEC) limit 3.8×10 −3 , by employing non-return to zero on-off keying (NRZ-OOK) modulations. Going forward, to demonstrate the feasibility of our GSE transmitter in practical IEEE 802.11bb systems, we will combine the GSE transmitter with a 320 MHz WiFi board to test its performance with high-order OFDM modulations.
Sprache
Englisch
Identifikatoren
eISSN: 2837-7109
DOI: 10.1109/ICCC59590.2023.10507461
Titel-ID: cdi_ieee_primary_10507461

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