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Estimation of directional sea spectra from ship motions in sea trials

机译:在海试中从船舶运动估计定向海光谱

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This paper compares the skill of two algorithms that enable real-time estimation of the directional wave spectra exciting a ship from its measured motions. One algorithm consists of a nonlinear optimization of a parametric or non-parametric spectral model and the other is a Kalman filter based observer. Sea trials have been conducted on an oceanographic vessel that was instrumented with a six degree of freedom fiber optic gyro, complemented with a rate gyro, several accelerometers, a dedicated GPS receiver and a bow mounted down looking wave radar with motion compensation. The two algorithms are applied to the measured data and a discussion is provided on their skill to recover the properties of existing sea states.
机译:本文对两种算法的技术进行了比较,这两种算法可以实时估计定向波谱,从而从其测量的运动中激发出一艘船。一种算法由参数或非参数光谱模型的非线性优化组成,另一种算法是基于卡尔曼滤波器的观测器。已经在装有六自由度光纤陀螺仪,速率陀螺仪,几个加速度计,专用GPS接收器和安装有运动补偿的向下看波雷达的船首的海洋船上进行了海上试验。将这两种算法应用于实测数据,并就它们恢复现有海态特性的技巧进行了讨论。

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