BP neural network applied to ADCP wave estimation

摘要：

　　New ADCP(Acoustic Doppler current profiler)can estimate surface wave based on current measurement.Now existing tilt correction algorithm only considers attitude angle pitch and roll,for example,TRDI wave processing software WAVESMON suggest if attitude angle pitch,roll is greater than 10 degrees,wave estimation should be tilt corrected.The authors previous research shows that both attitude angle pitch,roll and ADCP setting depth can affect wave estimation accuracy.Considering the existing tilt correction method is not accurate,the BP neural network is used to find nonlinear relationship between wave estimation error and various influencing factors,the research content of the paper is of important significance,which can be used as new tilt correction algorithm basis.

关键词： wave estimation tilt correction attitude angle setting depth BP neural network

作者: Wei Zheng Zhi Wang Mingyang Fu Bin Zhao Lei Shi Xiangtao Ran Li Hui Ying Yang

作者单位: Institute of Oceanographic Instrumentation,Shandong Academy of Sciences Shandong Provincial Key Laboratory of Ocean Environmental Monitoring Technology Qingdao,China

会议类型: 国际会议

会议名称: 2017 IEEE 2nd Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2017)(2017 IEEE 第2届先进信息技术、电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 1926-1929

在线出版日期: 2017-03-25（万方平台首次上网日期，不代表论文的发表时间）