LEDs can be used to communicate under the premise of satisfying illumination, which lays the groundwork for visible light communication (VLC). The application of outdoor VLC has drawn more attention, especially the application of vehicle-to-vehicle (V2V) which can significantly improve traffic safety and information transmission efficiency. The image sensor has the characteristics of spatial separation, easily realizes MIMO, and does not need to be strictly aligned with the transmitter, so it is especially suitable for vehicular VLC. However, because of the diffuseness of LED and the small pixel size of the image sensor, it is easy to produce the blooming effects and interfering among symbols. When decoding at the receiving terminal, it will judge the status Off of LEDs to be the status On. By analysing the blooming effects caused by surrounding LEDs, a novel threshold scheme is proposed in this paper according to the probability distribution of the sum of the optical power of the LED itself and after interference. Experiments show that the proposed method has advantages in improving BER compared with the expected threshold method and the average method, especially with long-distance communication (70 m), and the BER has been improved by 57% and 39%, respectively.

中文翻译：

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基于图像传感器的减少车载可见光通信空间符号间干扰的新阈值方案

LED可以在满足照明的前提下进行通信，这为可见光通信（VLC）奠定了基础。户外VLC的应用越来越受到关注，尤其是车对车（V2V）的应用，可以显着提高交通安全和信息传输效率。该图像传感器具有空间分离的特点，易于实现MIMO，无需与发射机严格对准，因此特别适用于车载VLC。但是，由于LED的漫射性和图像传感器的像素尺寸小，容易产生晕染效果和符号之间的干扰。在接收端解码时，会判断 LED 的状态为 Off 状态为 On。本文通过分析周围LED引起的晕染效应，根据LED自身光功率与干扰后光功率之和的概率分布，提出了一种新的阈值方案。实验表明，与期望门限法和平均法相比，所提方法在提高误码率方面具有优势，尤其是在长距离通信（70 m）下，误码率分别提高了57%和39%。