FPGA Implementation of Convolutional Code for Underwater Visible Light Communication Systems

Authors

  • Kidsanapong Puntsri -
  • Ampawan Yindeemak Department of Electronics and Telecommunication Engineering, Faculty of Technical Education, Rajamangala University of Technology Isan, Khon Kaen Campus
  • Ekkaphong Kansaree Department of Electronics and Telecommunication Engineering, Faculty of Engineering, Rajamangala University of Technology Isan, Khon Kaen Campus
  • Puripong Suttisopapan Department of Electrical Engineering, Faculty of Engineering, Khon Kaen University

Keywords:

underwater communication, visible light communication for sending pH and temperature values, convolutional code using field programmable gate array

Abstract

In this work, the error-correcting code, namely convolutional code, is developed and implemented using field-programmable gate array (FPGA) is proposed for underwater visible light communication (UVLC). The Viterbi decoding using the trellis diagram is used. The transmitter is located underwater with 10w LED and the baud rate is 9,600 b/s, which is compatible with the UART communication protocol. Four avalanche photodiodes with a bandwidth of 25 MHz is used to convert the light signal to an electrical signal at the receiver. Additionally, the output signal from the APDs is amplified by using OPA2380. The input voltage target is 3.3v, which is suitable for the ESP8266. Additionally, the measured data send to NETPIE for presented on the website in the following. To verify the system performance, the measurement data is recorded for 240 minutes with a communication distance of 1.45m. The bit error rate is 1.4 × 10 -3; therefore, the system can correct the error and show it on NETPIE correctly. The data is measured in real-time.

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References

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Published

2022-06-30

How to Cite

[1]
K. Puntsri, A. . Yindeemak, E. . Kansaree, and P. . Suttisopapan, “FPGA Implementation of Convolutional Code for Underwater Visible Light Communication Systems ”, Ladkrabang Engr J, vol. 39, no. 2, pp. 136–144, Jun. 2022.

Issue

Section

Research Articles