Kalman filtering of vessel motions for ocean wave directional spectrum estimation

Ricardo Pascoal; C. Guedes Soares

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Kalman filtering of vessel motions for ocean wave directional spectrum estimation

机译：船舶运动的卡尔曼滤波用于海浪定向谱估计

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摘要

This paper proposes a high-speed iterative procedure for estimating the ocean wave directional spectrum from vessel motion data. It uses as input data, the measurements from motion sensors that are commonly available on dynamically positioned vessels and which may easily be installed on any ship. Because the necessary sensors are relatively inexpensive or may already be installed, it becomes an ideal solution to provide initial estimates to offline estimation procedures and to give spectral updates under quickly changing weather conditions. The Kalman filtering algorithm, for iterative harmonic detection, and frequency domain vessel response data are used in the estimation procedure. The results and conclusions are still based on synthesized data, but very promising.

机译：本文提出了一种从船舶运动数据估计海浪方向谱的高速迭代程序。它使用来自运动传感器的测量值作为输入数据，这些传感器通常在动态定位的船舶上可用，并且可以轻松地安装在任何船舶上。由于所需的传感器相对便宜，或者可能已经安装，因此它成为向脱机估算程序提供初始估算并在快速变化的天气条件下进行光谱更新的理想解决方案。估计过程中使用卡尔曼滤波算法（用于迭代谐波检测）和频域容器响应数据。结果和结论仍基于综合数据，但很有希望。

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来源
《Ocean Engineering》 |2009年第7期|477-488|共12页
作者
Ricardo Pascoal; C. Guedes Soares;
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作者单位

Centre for Marine Technology and Engineering (CENTEC), Technical University of Lisbon. Instituto Superior Tecnico, Av. Rovisco Pais, 1, 1049-001 Lisboa, Portugal;

Centre for Marine Technology and Engineering (CENTEC), Technical University of Lisbon. Instituto Superior Tecnico, Av. Rovisco Pais, 1, 1049-001 Lisboa, Portugal;

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正文语种 eng
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harmonic detection; kalman filtering; spectral estimation; hydrodynamics;

机译：谐波检测;卡尔曼滤波频谱估计流体力学;

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专利

1. Bayesian Estimation of Directional Wave-Spectrum Using Vessel Motions and Wave-Probes: Proposal and Preliminary Experimental Validation [J] . de Souza Felipe Lopes, Tannuri Eduardo Aoun, de Mello Pedro Cardozo, Journal of offshore mechanics and arctic engineering . 2018,第4期

机译：使用船舶运动和波探针的定向波谱贝叶斯估计：建议和初步实验验证
2. Directional Wave Spectrum Estimation Based on Vessel's lst-order Motions: Field Results [J] . Alexandre N. Simos, Joao V. Sparano, Eduardo A. Tannuri, International Journal of Offshore and Polar Engineering . 2009,第2期

机译：基于船舶一阶运动的定向波谱估计：场结果
3. Ocean wave spectrum estimation using measured vessel motions from an in-service container ship [J] . Nielsen Ulrik D., Dietz Jesper Marine Structures . 2020,第Jana期

机译：使用在役集装箱船的测量船舶运动估算海浪频谱
4. Real-time Estimation of Ocean Wave Spectra from Vessel Motion using Adaptive Kalman Filter [C] . HanSung Kim, HeonYong Kang, MooHyun Kim, International Ocean and Polar Engineering Conference;International Society of Offshore and Polar Engineers . 2019

机译：自适应卡尔曼滤波从船舶运动实时估计海浪谱
5. Estimation of mid-latitude Rossby waves using a simple ocean model and Kalman filtering with TOPEX/POSEIDON altimeter data. [D] . Fox, Chad Alan. 1997

机译：使用简单的海洋模型和带有TOPEX / POSEIDON高度计数据的卡尔曼滤波估算中纬度Rossby波。
6. Unscented Kalman Filtering for Single Camera Based Motion and Shape Estimation [O] . Dah-Jing Jwo, Chien-Hao Tseng, Jen-Chu Liu, 2011

机译：基于单摄像机运动和形状估计的无味卡尔曼滤波
7. On the estimation of the directional spectrum of ocean waves from time series observations of surface elevations [O] . Raymond G. Stevens 1963

机译：关于海浪从时间序列观察的海浪定向谱估计

Kalman filtering of vessel motions for ocean wave directional spectrum estimation

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