The application of maximum differential algorithm in adaptive ocean sampling
Li, Qingchun1,2; Gao, Junwei1; Guan, Sheng3; Zhang, Bin1; Leng, Ziwen1
刊名2013 25th Chinese Control and Decision Conference, CCDC 2013
2013
页码328-332
关键词Importance sampling
DOI10.1109/CCDC.2013.6560943
英文摘要This paper presents a technique for adaptive ocean sampling using ocean sampling platforms equipped with multiple sensors. The virtual environment of 2D ocean sampling is established, so as to simulate the ocean sampling region by means of the sampling platforms. There are three important phases which can be written as collecting scientific data, drawing the sampling area, and utilizing the maximum differential algorithm (MDA) in ocean sampling. By analyzing the sampling data and using the maximum differential algorithm, the sampling platforms achieve the optimizing sampling path. The simulation results by adaptive ocean sampling of single sampling platform and multiple platforms show that the proposed approach is effective and feasible. This method can be applied to conduct the moving direction based on the ocean sampling platforms. © 2013 IEEE.
语种英语
出版者IEEE Computer Society
内容类型期刊论文
源URL[http://ir.fio.com.cn/handle/2SI8HI0U/6749]  
专题业务部门_海洋环境与数值模拟研究室
作者单位1.College of Automation Engineering, Qingdao University, Qingdao 266071, China;;
2.Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China;;
3.First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China
推荐引用方式
GB/T 7714
Li, Qingchun,Gao, Junwei,Guan, Sheng,et al. The application of maximum differential algorithm in adaptive ocean sampling[J]. 2013 25th Chinese Control and Decision Conference, CCDC 2013,2013:328-332.
APA Li, Qingchun,Gao, Junwei,Guan, Sheng,Zhang, Bin,&Leng, Ziwen.(2013).The application of maximum differential algorithm in adaptive ocean sampling.2013 25th Chinese Control and Decision Conference, CCDC 2013,328-332.
MLA Li, Qingchun,et al."The application of maximum differential algorithm in adaptive ocean sampling".2013 25th Chinese Control and Decision Conference, CCDC 2013 (2013):328-332.
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