UUVs support to naval operations

Author:

Novac Valerian

Abstract

The article analyzes the environmental conditions present in the Black Sea basin and, in this view, the opportunity of employment of unmanned underwater platforms, especially in the contested littoral area. The introductory part of the article is presented up to date UUVs platforms in use with their capabilities and limitations. Then, the paper identifies the shortfalls and opportunities to engage unmanned platforms to operate independently or paired with other undersea, surface, unmanned aerial platforms, or fixed arrays. The closing section analyzes the types of payloads, missions, and capabilities of actual vehicles, and some ways ahead are underlined, especially regarding future sensors, weapons, navigation, and underwater communications capabilities.

Publisher

Mircea cel Batran Naval Academy

Subject

Electrical and Electronic Engineering,Management Science and Operations Research,Computer Science Applications,Mechanical Engineering,Ocean Engineering,Instrumentation,Modeling and Simulation

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multi Small Object Detection and Prioritized Tracking for Navy Operations using Deep Learning Techniques;2023 International Conference on Quantum Technologies, Communications, Computing, Hardware and Embedded Systems Security (iQ-CCHESS);2023-09-15

2. The Actual Security Climate in the Black Sea Basin;International conference KNOWLEDGE-BASED ORGANIZATION;2022-06-01

3. UAVs Support to Naval Operations;International conference KNOWLEDGE-BASED ORGANIZATION;2021-06-01

4. Sea ice impact on naval operations;Journal of Physics: Conference Series;2021-02-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3