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作 者:李新 LI Xin(Department of Mathematics and Information Engineering,Dongchang College ofLiaocheng University,Liaocheng 252000,China)
机构地区:[1]聊城大学东昌学院数学与信息工程系,山东聊城252000
出 处:《舰船科学技术》2022年第4期43-46,共4页Ship Science and Technology
基 金:山东省教育科学“十三五”规划自筹课题(2020ZC325)。
摘 要:为更好地实现舰船识别与管理的目的,设计研究功率谱估计在舰船噪声特征提取中的应用方法。依照舰船实际信号与噪声信号的差异性推导滤波器结构,在滤波器内迭加一个白噪声谱改善信号失真问题,利用滤波器对舰船噪声信号进行白化处理。采用Welch功率谱估计法,通过窗函数截断白化处理后的舰船噪声时程离散信号,获取不同段舰船噪声信号的功率谱并实施平均值计算,得到舰船噪声信号的功率谱估计结果,分析该功率谱估计结果,得到舰船噪声功率谱特征。在具有多种舰船噪声特征信息的条件下,依照动态规划理论选取最优功率谱特征。仿真结果显示该方法有效实现信号滤波处理,基于该方法特征提取结果可实现高精度的舰船识别。In order to better realize the purpose of ship identification and management,the application method of power spectrum estimation in ship noise feature extraction is studied.The filter structure is deduced according to the difference between ship's actual signal and noise signal,a white noise spectrum is added to the filter to improve the signal distortion,and the ship's noise signal is whitened by the filter.Welch power spectrum estimation method was used to truncate the timehistory discrete signals of ship noise after whitening by window function,obtain the power spectrum of ship noise signals in different sections and perform average calculation to obtain the power spectrum estimation results of ship noise signals.Then,analyze the power spectrum estimation results to obtain the power spectrum characteristics of ship noise signals.The optimal power spectrum features are selected according to the dynamic programming theory under the condition of various ship noise characteristics.Simulation results show that the proposed method can effectively achieve the purpose of signal filtering,and high precision ship recognition can be realized based on the feature extraction results of the proposed method.
关 键 词:功率谱估计 舰船噪声 特征提取 滤波器 窗函数 动态规划
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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