Advancements in Buoy Wave Data Processing through the Application of the Sage-Husa Adaptive Kalman Filtering Algorithm

doi:10.3390/s23167298

CORC > 海洋研究所 > 中国科学院海洋研究所

	Advancements in Buoy Wave Data Processing through the Application of the Sage-Husa Adaptive Kalman Filtering Algorithm
	Jiang, Sha 1,2; Chen, Yonghua 2; Liu, Qingkui 2
刊名	SENSORS
	2023-08-01
卷号	23 期号:16 页码:18
关键词	Sage-Husa adaptive kalman filter combined filter wave direction spectrum acceleration sensor
DOI	10.3390/s23167298
通讯作者	Chen, Yonghua(chenyonghua@qdio.ac.cn)
英文摘要	In this paper, we propose a combined filtering method rooted in the application of the Sage-Husa Adaptive Kalman filtering, designed specifically to process wave sensor data. This methodology aims to boost the measurement precision and real-time performance of wave parameters. (1) This study delineates the basic principles of the Kalman filter. (2) We discuss in detail the methodology for analyzing wave parameters from the collected wave acceleration data, and deeply study the key issues that may arise during this process. (3) To evaluate the efficacy of the Kalman filter, we have designed a simulation comparison encompassing various filtering algorithms. The results show that the Sage-Husa Adaptive Kalman Composite filter demonstrates superior performance in processing wave sensor data. (4) Additionally, in Chapter 5, we designed a turntable experiment capable of simulating the sinusoidal motion of waves and carried out a detailed errors analysis associated with the Kalman filter, to facilitate a deep understanding of potential problems that may be encountered in practical application, and their solutions. (5) Finally, the results reveal that the Sage-Husa Adaptive Kalman Composite filter improved the accuracy of effective wave height by 48.72% and the precision of effective wave period by 23.33% compared to traditional bandpass filter results.
资助项目	National Key Research and Development Program[2022YFC3104102] ; Laoshan Laboratory grant[LSKJ202203003]
WOS研究方向	Chemistry ; Engineering ; Instruments & Instrumentation
语种	英语
出版者	MDPI
WOS记录号	WOS:001056741300001
内容类型	期刊论文
源URL	[http://ir.qdio.ac.cn/handle/337002/182843]
专题	中国科学院海洋研究所
通讯作者	Chen, Yonghua
作者单位	1.Univ Chinese Acad Sci, Jingjia Rd, Yanqi Lake Campus, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Oceanol, Nanhai Rd 7, Qingdao 266071, Peoples R China
推荐引用方式 GB/T 7714	Jiang, Sha,Chen, Yonghua,Liu, Qingkui. Advancements in Buoy Wave Data Processing through the Application of the Sage-Husa Adaptive Kalman Filtering Algorithm[J]. SENSORS,2023,23(16):18.
APA	Jiang, Sha,Chen, Yonghua,&Liu, Qingkui.(2023).Advancements in Buoy Wave Data Processing through the Application of the Sage-Husa Adaptive Kalman Filtering Algorithm.SENSORS,23(16),18.
MLA	Jiang, Sha,et al."Advancements in Buoy Wave Data Processing through the Application of the Sage-Husa Adaptive Kalman Filtering Algorithm".SENSORS 23.16(2023):18.