基于自回归模型滤波的舰船水压场信号实时检测

Real-Time Detection of Ship Hydrodynamic Pressure Field Signal Based on Autoregressive Model Filtering

在对大量实测海浪水压场及舰船水压场信号深入分析的基础上,基于AR模型滤波有效地从风浪背景中实时检测舰船水压场信号。检测步骤如下:首先对海浪水压场信号建立自回归模型;以此模型系数建立白化滤波器并对接收信号进行滤波;其次对白化滤波器输出预测误差值做平滑处理并提取平滑处理后的值作为特征值;最后采用滑动检测方法对信号进行实时检测;若在一段时间内没有检测到目标信号,自动更新白化滤波器参数。通过实测数据和仿真数据对该检测算法进行验证。结果表明此方法简单易实现,在低信噪比情况下,能较好的检测到目标信号。

On the basis of deeply analyzing large amount of the ship hydrodynamic pressure field signals and the sea wave hydrodynamic pressure field signals, the ship hydrodynamic pressure field signal was detected in real-time, effectively, from sea wave background by the autoregressive （AR） model filtering. It is detecting steps that an AR model of ocean wave hydrodynamic pressure field is established; the received signal is filtered by prewhitening filter structured with the AR model coefficients; the prediction error output from the prewhitening filter is smoothed and extracted as the characteristic value; the target signal is detected in real-time by a sliding detection method; the parameters of prewhitening filter are updated automatically if the target signal isn＂t detected in a short time. The effectiveness of the method was verified by comparing the measured data with the simulated data. The verified result shows that the method is simple and easy to realize and can detect the target signal effectively in low signal-to-noise ratio.