An Improved Data Detection Method for Mesoscale Vortex Flow Field Based on Optimum Launching Environment of Major Launch Weapons

2019 2nd International Conference of Green Buildings and Environmental Management

生态环境科学

Jifeng, Yang^1 ; Jie, Chen^1 ; Bingjie, Liu^1 ; Feng, Qin^1

Department, Navy Submarine Academy, Qing Dao, Shan Dong

266000, China^1

关键词: Data detection;    Geometric method;    Internal flows;    Mesoscale eddy;    Mesoscale vortices;    Sound velocity profile;    Submarine navigations;    Underwater sonars;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/310/5/052086/pdf
DOI  :  10.1088/1755-1315/310/5/052086

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

As a common ocean phenomenon, mesoscale eddies have strong internal flow velocity and large vertical depth scale, which affect the horizontal non-uniform variation of sound velocity profile. Mesoscale eddies affect the use of underwater sonar. While improving the concealment of submarine navigation, they may cause serious interference to the launch and guidance of missile weapon. Geometric methods can identify more mesoscale vortices with relatively small scales, but there are some missing and wrong judgements. Based on the current mainstream algorithms, this paper improves and improves the mesoscale eddy recognition and information extraction algorithm by improving the quadrant restriction and restricting the boundary conditions, so as to reduce the rate of missed judgment and false judgment.