A Laser Spot Tracking Algorithm for Underwater Wireless Optical Communication Based on Image Processing

Zuxiang Zheng, Hongxi Yin, Jianying Wang, Lianyou Jing
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引用次数: 2

Abstract

The APT for a laser spot underwater is one of the key technologies for underwater wireless laser communication. In this paper, an algorithm is proposed for fast and accurate tracking of underwater moving target spot based on laser spot image captured by CCD camera, i.e., MASMS algorithm, which combines the classical Kalman filtering algorithm with ASMS algorithm to improve the loss of the target when the target moves too fast. The performance of MASMS is tested, including center position error of a laser spot, frame rate, precision plot, and success plot, and compared with the classical algorithms such as Mean-Shift, ASMS, STRUCK, and KCF, which are available in literature. It is shown by our simulating experiment that the performance of MASMS algorithm is better than that of mentioned above four existing algorithms except for the only frame rate, that is slightly lower than KCF and ASMS. Therefore, the MASMS algorithm can be applied to track underwater wireless laser communication signals in the future in order to enhance the effectiveness and reliability of communication.
基于图像处理的水下无线光通信激光光斑跟踪算法
水下激光光斑APT是水下无线激光通信的关键技术之一。本文提出了一种基于CCD相机捕获的激光光斑图像快速准确跟踪水下运动目标光斑的算法,即MASMS算法,该算法将经典卡尔曼滤波算法与asm算法相结合,以改善目标运动过快时的目标损失。测试了该算法的性能,包括光斑中心位置误差、帧率、精度图和成功率图,并与文献中常用的Mean-Shift、ASMS、STRUCK和KCF等经典算法进行了比较。仿真实验表明,除了帧率略低于KCF和asm外,MASMS算法的性能优于上述四种现有算法。因此,未来可以将MASMS算法应用于水下无线激光通信信号的跟踪,以提高通信的有效性和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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