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Decoding algorithm with multiple features based on optical camera communication system

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Abstract

The performance of decoding algorithm is one of the important influential factors to determine the communication quality of optical camera communication (OCC) system. In this paper, we first propose a decoding algorithm with adaptive thresholding based on the captured pixel values under an ideal environment, and then we further propose a decoding algorithm with multiple features, which is more suitable under the existence of the interference of light sources. The algorithm firstly determines the light-emitting diode (LED) array profile information by removing the interfering light sources through geometric features, and then identifies the LED state by calculating two grayscale features, the average gray ratio (AGR) and the gradient radial inwardness (GRI) of the LEDs, and finally obtains the LED state matrix. The experimental results show that the bit error ratio (BER) of the decoding algorithm with multiple features decreases from 1×10−2 to 5×10−4 at 80 m.

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Authors and Affiliations

  1. Department of Communications Engineering, Jilin University, Changchun, 130012, China

    Junming Zhang, Wenxiao Shi, Qiang Wang, Anqi Liu & Wei Liu

Authors
  1. Junming Zhang
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  2. Wenxiao Shi
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  3. Qiang Wang
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  4. Anqi Liu
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  5. Wei Liu
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Corresponding author

Correspondence to Wenxiao Shi.

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The authors declare that there are no conflicts of interest related to this article.

Additional information

This work has been supported by the Department of Science and Technology of Jilin Province (No.20200401122GX).

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Zhang, J., Shi, W., Wang, Q. et al. Decoding algorithm with multiple features based on optical camera communication system. Optoelectron. Lett. 19, 65–71 (2023). https://doi.org/10.1007/s11801-023-2108-z

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  • DOI: https://doi.org/10.1007/s11801-023-2108-z

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