Yongle Zhang, Lin Qi, Junyu Dong, Qi Wen, Mingdong Lv
{"title":"Data Processing Based on Low-Precision IMU Equipment to Predict Wave Height and Wave Period","authors":"Yongle Zhang, Lin Qi, Junyu Dong, Qi Wen, Mingdong Lv","doi":"10.1109/ICDIS.2019.00023","DOIUrl":null,"url":null,"abstract":"This paper presents an effective method for measuring wave height and period using a low-precision IMU device integrated with a three-axis accelerometer and a three-axis gyroscope. Firstly, the acceleration of the three-axis sensor coordinate system is transformed to the acceleration in the vertical direction under the geographic coordinate system by Euler angle. Then the noise of the resultant acceleration (vertical direction) signal is removed by the smoothing process of the anisotropic diffusion based on the partial differential equation. Furthermore, the method of frequency domain integration is adopted to overcome the deviation caused by the quadratic integral obtaining an accurate wave height and period. Finally, the experimental comparison results show that the practicality of the proposed method.","PeriodicalId":181673,"journal":{"name":"2019 2nd International Conference on Data Intelligence and Security (ICDIS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 2nd International Conference on Data Intelligence and Security (ICDIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDIS.2019.00023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper presents an effective method for measuring wave height and period using a low-precision IMU device integrated with a three-axis accelerometer and a three-axis gyroscope. Firstly, the acceleration of the three-axis sensor coordinate system is transformed to the acceleration in the vertical direction under the geographic coordinate system by Euler angle. Then the noise of the resultant acceleration (vertical direction) signal is removed by the smoothing process of the anisotropic diffusion based on the partial differential equation. Furthermore, the method of frequency domain integration is adopted to overcome the deviation caused by the quadratic integral obtaining an accurate wave height and period. Finally, the experimental comparison results show that the practicality of the proposed method.