Visible light imaging communication decoding method based on convolutional neural network

Abstract

The invention discloses a visible light imaging communication decoding method based on a convolutional neural network. According to the method, an RGB-LED is used as a light source at a transmitting end; to-be-sent data is encoded by adopting OOK and is divided into three data streams; the three data streams respectively drive red, green and blue lamp beads of the RGB-LED to emit light signals; ata receiving end, a CMOS sensor camera is adopted to directly face an RGB-LED video to capture an optical signal; extracting is performed frame by frame, stripe distribution areas are intercepted fromthe image to respectively generate average frames for the R channel, the G channel and the B channel and normalize the average frames, the image is cut by taking a limited number of stripes as a unit, trained convolutional neural network identification and decoded data are input, the data are sequentially permutated and combined, and original data is restored. The method is simple and feasible, can be realized by combining an existing lamp with a smart phone, and has wide market value.

Description

technical field [0001] The present invention relates to the field of visible light communication, in particular to a convolutional neural network-based decoding method for visible light imaging communication. Background technique [0002] With the development of wireless communication technology, wireless communication based on radio frequency technology is facing problems such as low data transmission rate and shortage of spectrum resources, which cannot meet the needs of future services in high-speed transmission and ultra-wide bandwidth. Visible Light Communication technology (Visible Light Communication, VLC) is widely regarded as an effective supplement to existing RF wireless communication due to its advantages of rich spectrum resources, high data transmission rate, green energy saving, low cost, high security, and good confidentiality. VLC has dual functions of lighting and communication. Therefore, the popularity of light-emitting diodes (LEDs) has also enhanced the...

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Problems solved by technology

[0004] However, due to inter-symbol interference and interference between different channels, as the transmission speed of the sending end increases, the difficulty of stripe recognition at the receiving end will increase accordingly, and the bit error rate will increase. In severe cases, there will be serious In the case of an incorrect identification, the bit error rate is higher than the tolerable value, making the communication unable to operate normally

Moreover, because these two types of interference are difficult to simulate through simple mathematical models, these two types of interference problems have not yet been fully discussed and resolved

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