Theoretical analysis of received optical intensity of underwater image sensor based visible light communications using RGB-LEDs
Theoretical analysis of received optical intensity of underwater image sensor based visible light communications using RGB-LEDs
复制标题
基于 RGB-LED 的可见光通信水下图像传感器接收光强度的理论分析
DOI：
10.1109/wpmc52694.2021.9700471
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Sawa Takao
中科院分区：
文献类型：
--
作者：
Yokoo Kazune;Kozawa Yusuke;Sawa Takao
近年来，水下可见光通信（UVLC）作为一种100 m范围内的短距离水下无线通信技术受到了人们的关注。UVLC主要使用光电二极管（PD）实现高速通信，但需要精确对准发射器和接收器之间的光轴。在本文中，我们研究了UVLC使用图像传感器（IS），以建立一个更稳定的通信链路容易。此外，针对水下传输信道中浊度、叶绿素浓度等因素对可见光衰减率的影响，提出了一种以RGBLED为透射光的基于IS的UVLC，并从理论上分析了海水浊度对UVLC的影响。具体地，当叶绿素浓度低和高时，最低衰减波长分别是蓝色和红色。在本文中，我们考虑使用RGB-LED的基于图像传感器的UVLC，并评估水浊度如何影响透射光。此外，我们还从理论上评估了海水浑浊度对光学RGB信号的影响，使用一台普通的全色相机，考虑到水下信道、普通的凸透镜特性以及CMOS图像传感器中的拜耳滤色器和模数转换器（DAC）
Recently, Underwater Visible Light Communication (UVLC) has been attracting attention as a short-range underwater wireless communication technology within the range of 100 m. UVLC enables high-speed communication mainly using photodiodes (PD) but requires precise alignment of the optical axis between the transmitter and receiver. In this paper, we investigate the UVLC using image sensors (IS) to establish a more stable communication link easily. Furthermore, focusing on the change of attenuation rate in the visible light band due to the effect of turbidity, chlorophyll concentration, in the underwater transmission channel, we propose an IS-based UVLC using RGBLEDs as the transmitting light, and theoretically evaluate the effect of turbidity in the sea. Specifically, when the chlorophyll concentration is low and high, the lowest attenuation wavelengths are of blue and red respectively. In this paper, we consider image sensor-based UVLC using RGB-LEDs and evaluate how water turbidity affects the transmission light. Also, we evaluate theoretically the effect of turbidity in the sea on the optical RGB signal using a general full-color camera taking into account underwater channel, general convex lens characteristics, and bayer color filter and analog to digital converters (DAC) at CMOS image sensor