摘要
物联网技术和船舶交通管理系统VTS在保障船舶安全方面发挥着重要作用,但其在船舶识别功能上的局限性导致无法适应航运业安全的需求,船用自动识别系统能够解决目前存在的问题,提高船船、船岸间的信息交互能力。本文深入研究递推最小二乘算法,并结合最优加权算法,提出动态信息融合模型,有效减少测量误差,提高系统精度。
Internets of things technology and vessel traffic system plays an important role in terms of ship security,but its limitation on the ship recognition function cannot meet the requirements of shipping safety,marine automatic identification system to solve the existing problems, improve the ability of information interaction between ship and ship or shore. This paper studied the recursive least square algorithm, and proposed the dynamic information fusion model, which can effectively reduce the measurement error and improve the accuracy of the system.
出处
《舰船科学技术》
北大核心
2016年第9X期130-132,共3页
Ship Science and Technology