舰船升沉测量的自适应算法

An Adaptive Algorithm for Ship Heave Measurement

给出了舰船升沉运动的具体定义;建立了升沉测量误差模型,并依此设计了升沉滤波器来实现低频衰减和特定频段的二次积分;详细分析了误差特性,指出各个误差源对测量结果的影响;提出了自适应算法来实时估计海浪运动状态,即平均海浪高度和主导频率,基于此求解出使误差达到最小值的滤波器参数;最后用仿真的手段,对此测量算法进行验证,并与传统的数字滤波器进行对比,仿真结果表明,提出的舰船升沉测量的自适应算法实现了测量的实时性和准确性。

A specific definition of ship heave movement is given?and an error model of heave measurement is established?based on which a heave filter is designed to realize low-frequency attenuation and quadratic integral of a specific band.Detailed analysis is made to the error characteristics?and the influence of each error source on measurement results is presented. An adaptive algorithm is proposed for estimating the state of wave motion in real time?i.e.?the average amplitude and dominant frequency of the wave?based on which the parameter of the filter is obtained to minimize the error.Simulation is made to verify the measurement algorithm.The result shows that:Compared with the traditional digital high-pass filter?the adaptive algorithm performs better in real-time and accurate measurement.