集成水声环境的协同uuv探测任务调度

Chengchong Jiang, Yiqun Hu, Yalong He, Wei Feng, Wenham Xu, Jianlong Li
{"title":"集成水声环境的协同uuv探测任务调度","authors":"Chengchong Jiang, Yiqun Hu, Yalong He, Wei Feng, Wenham Xu, Jianlong Li","doi":"10.1109/ICSPCC55723.2022.9984266","DOIUrl":null,"url":null,"abstract":"Underwater acoustic environment has an impact on the acoustic-based target detection method. Target detection via cooperative UUVs is a way to overcome the deficiency. To make full use of the environmental information, the paper presents a task scheduling method integrated with underwater acoustic environments to improve the detection ability at the task level. The method contains two parts: the detection performance evaluation model and the task scheduling model. The evaluation model can evaluate the detection performance of UUVs. The task scheduling model provides the mathematical form of the problem. The cumulative detection probability and the energy are used to construct the cost function. The detection strategies are designed to satisfy different situations. The GA algorithm is adopted to solve the optimization problems. The simulations are carried out with real environmental data. The results show the proposed method improves the performance of the cooperative detection.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cooperative UUVs Detection Task Scheduling Integrated with Underwater Acoustic Environments\",\"authors\":\"Chengchong Jiang, Yiqun Hu, Yalong He, Wei Feng, Wenham Xu, Jianlong Li\",\"doi\":\"10.1109/ICSPCC55723.2022.9984266\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Underwater acoustic environment has an impact on the acoustic-based target detection method. Target detection via cooperative UUVs is a way to overcome the deficiency. To make full use of the environmental information, the paper presents a task scheduling method integrated with underwater acoustic environments to improve the detection ability at the task level. The method contains two parts: the detection performance evaluation model and the task scheduling model. The evaluation model can evaluate the detection performance of UUVs. The task scheduling model provides the mathematical form of the problem. The cumulative detection probability and the energy are used to construct the cost function. The detection strategies are designed to satisfy different situations. The GA algorithm is adopted to solve the optimization problems. The simulations are carried out with real environmental data. The results show the proposed method improves the performance of the cooperative detection.\",\"PeriodicalId\":346917,\"journal\":{\"name\":\"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPCC55723.2022.9984266\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPCC55723.2022.9984266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

水声环境对基于声的目标检测方法有很大影响。利用协同uv进行目标检测是克服这一缺陷的一种方法。为了充分利用环境信息,本文提出了一种与水声环境相结合的任务调度方法,以提高任务级的探测能力。该方法包括两部分:检测性能评估模型和任务调度模型。该评价模型可以对紫外探测器的探测性能进行评价。任务调度模型提供了问题的数学形式。利用累积检测概率和能量来构造代价函数。针对不同情况设计了不同的检测策略。采用遗传算法求解优化问题。采用真实环境数据进行了仿真。实验结果表明,该方法提高了协同检测的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative UUVs Detection Task Scheduling Integrated with Underwater Acoustic Environments
Underwater acoustic environment has an impact on the acoustic-based target detection method. Target detection via cooperative UUVs is a way to overcome the deficiency. To make full use of the environmental information, the paper presents a task scheduling method integrated with underwater acoustic environments to improve the detection ability at the task level. The method contains two parts: the detection performance evaluation model and the task scheduling model. The evaluation model can evaluate the detection performance of UUVs. The task scheduling model provides the mathematical form of the problem. The cumulative detection probability and the energy are used to construct the cost function. The detection strategies are designed to satisfy different situations. The GA algorithm is adopted to solve the optimization problems. The simulations are carried out with real environmental data. The results show the proposed method improves the performance of the cooperative detection.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信