Optical Camera Communication Method Based on Reference Fringe Width Judgement

CHEN Yong; HAN Zhaozhong; LIU Huanlin; HU Chenyi; WU Zhiqian

doi:10.11999/JEIT220294

Volume 44 Issue 8

Aug. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(8): 2629-2638

CHEN Yong, HAN Zhaozhong, LIU Huanlin, HU Chenyi, WU Zhiqian. Optical Camera Communication Method Based on Reference Fringe Width Judgement[J]. Journal of Electronics & Information Technology, 2022, 44(8): 2629-2638. doi: 10.11999/JEIT220294

Citation:

CHEN Yong, HAN Zhaozhong, LIU Huanlin, HU Chenyi, WU Zhiqian. Optical Camera Communication Method Based on Reference Fringe Width Judgement[J]. Journal of Electronics & Information Technology, 2022, 44(8): 2629-2638. doi: 10.11999/JEIT220294

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Optical Camera Communication Method Based on Reference Fringe Width Judgement

doi: 10.11999/JEIT220294 cstr: 32379.14.JEIT220294

1.
Key Laboratory of Industrial Internet of Things & Network Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The Chongqing Natural Science Foundation (cstc2020jcyj-msxmX0682), The National Natural Science Foundation of China (51977021)

Received Date: 2022-03-18
Rev Recd Date: 2022-05-28

Available Online: 2022-06-22

Publish Date: 2022-08-17

Abstract

Abstract

In optical camera communication, the classical polynomial fitting algorithm is easy to lose the stripe detail information, the segmentation-based adaptive threshold algorithm can decode the gray value data effectively, but it is time-consuming, and the step size selection has great impact on the decoding performance. To address the above problems, an exponentially weighted filtering algorithm that can ensure the influence of neighboring pixel rows and is relatively smooth is proposed, and it is combined with reference stripes to achieve fast demodulation and decoding. In the decoding process, firstly, the number of pixels is estimated for each light and dark stripe to determine the position of the frame synchronization head and frame tail; Then the frame synchronization head and frame tail are used to determine the range of valid data and estimate the number of pixels corresponding to each bit of data; After that, the duty cycle of valid data is determined and converted into logical values; Finally, the information represented by logical values is output. The experimental results show that the proposed algorithm has low algorithm complexity, and the channel distance can reach 30 cm and the transmission rate is 1.67 kbps in the indoor environment with 300 lx illumination when using a square LED as the transmitter under the condition that the false bit rate is lower than the forward error correction threshold, which can meet the normal transmission requirements..
- Optical camera communication,
- Filtering algorithms,
- Demodulate and decode

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References(20)

References

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