基于序列匹配的螺旋桨轴频自动提取方法
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摘要
针对船舶、潜艇等水声目标螺旋桨轴频自动提取困难的问题,提出一种基于平均能量累积和脉冲序列匹配的水声目标螺旋桨轴频特征提取算法,算法首先将噪声不同频段的调制信息利用多频段融合改进方法对DEMON谱进行线增强,然后利用平均能量累积方法对与螺旋桨轴频及其谐波相关的线谱进行提取,由于提取的线谱所对应轴频或谐波次数不明确,最后算法通过序列匹配方法计算线谱对应的谐波次数,从而实现螺旋桨轴频的自动提取,通过实验验证,算法取得了较好效果。
As it is difficult to extract the propeller shaft frequency of underwater acoustic targets automatically such as ships,submarines and so on,this paper proposed an extraction algorithm of propeller shaft frequency of underwater acoustic targets based on the average energy accumulation and pulse sequence matching. First,the algorithm enhanced the line spectrums of DEMON by fusing the modulated information of different frequency band with an improved multi-band fusion method. Then the line spectrums of the propeller shaft frequency or its harmonics was extracted by the average energy accumulation. Finally,the method of sequence matching was applied to calculate harmonic numbers of the line spectrums extracted,and the propeller shaft frequency was extracted automatically. As verified in the test,the algorithm works very well.
As it is difficult to extract the propeller shaft frequency of underwater acoustic targets automatically such as ships,submarines and so on,this paper proposed an extraction algorithm of propeller shaft frequency of underwater acoustic targets based on the average energy accumulation and pulse sequence matching. First,the algorithm enhanced the line spectrums of DEMON by fusing the modulated information of different frequency band with an improved multi-band fusion method. Then the line spectrums of the propeller shaft frequency or its harmonics was extracted by the average energy accumulation. Finally,the method of sequence matching was applied to calculate harmonic numbers of the line spectrums extracted,and the propeller shaft frequency was extracted automatically. As verified in the test,the algorithm works very well.
引文
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[8]HANG F,LEE T.Pitch estimation in noisy speech using accumulated peak spectrum and sparse estimation technique[J].IEEE Transactions on Audio Speech&Language Processing,2013,21(1):97-107.
[9]齐俊德,李山,陈冰.基于小波包能量矩阵的轴承信号特征提取[J].振动与冲击,2013,32(21):170-111.QI Junde,LI Shan,CHEN Bin.Feature extraction of bearing vibration signals based on wavelet energy matrix[J].Journal of Vibration and Shock,2013,32(21):170-111.
[10]HUANG J C,ZHANG X,ZHOU Q W,et al.A practical fundamental frequency extraction algorithm for motion parameters estimation of moving targets[J].IEEE Transactions on instrumentation and measurement,2014,63(2):267-276.
[11]徐静云,赵晓群,王峤,等.基于幅度压缩滤波的清浊音分类及基音估计[J].电子与信息学报,2016,38(3):587-593.XU Jingyun,ZHAO Xiaoqun,WANG Qiao,et al.Voiced/Unvoiced classification and pitch estimation based on amplitude compression filter[J].Journal of Electronics&Information Technology,2016,38(3):587-593.
[12]CHEVEIGNE A D,KAWAHARA H.YIN,a fundamental frequency estimator for speech and music[J].The Journal of the Acoustical Society of America,2002,111(4):1917-1930.
[13]RABINER L,CHENG M,ROSENBERG A E,et al.A comparative performance study of several pitch detection algorithms[J].IEEE Transactions on Acoustics,Speech and Signal Processing,1976,24(5):399-418.
[2]吴思远,黎胜.船用螺旋桨叶片振动辐射噪声数值分析[J].振动与冲击,2014,33(12):207-210.WU Siyuan,LI Sheng.Numerical analysis for noise induced by vibration of propeller blades[J].Journal of Vibration and Shock,2014,33(12):207-210.
[3]殷敬伟,惠俊英,姚直象,等.基于DEMON线谱的轴频提取方法研究[J].应用声学,2005,24(6):369-374.YIN Jingwei,HUI Junying,YAO Zhixiang,et al.Extraction of shaft frequency based on the DEMON line spectrum[J].Applied Acoustics,2005,24(6):369-374.
[4]童峰,陆佶人,方世良.水声目标识别中一种轴频提取方法[J].声学学报,2004,29(5):398-402.TONG Feng,LU Jiren,FANG Shiliang.A method to estimate the propeller shaft rate in underwater acoustic vessel classification[J].Acta Acustica,2004,29(5):398-402.
[5]孙焱.被动目标分频段调制特征提取方法研究[D].哈尔滨:哈尔滨工程大学,2007.
[6]郑恩明,陈新华,孙长瑜.基于幅值加权的未知线谱目标检测算法[J].振动与冲击,2014,33(16):160-164.ZHENG Enming,CHEN Xinhua,SUN Changyu.Unknown target detection method based on weight amplitude[J].Journal of Vibration and Shock,2014,33(16):160-164.
[7]杨宏,李亚安,李国辉.基于集成经验模态分解的舰船辐射噪声能量分析[J].振动与冲击,2015,34(16):55-59.YANG Hong,LI Yaan,LI Guohui.Energy analysis of ship radiated noise based on ensemble empirical mode decomposition[J].Journal of Vibration and Shock,2015,34(16):55-59.
[8]HANG F,LEE T.Pitch estimation in noisy speech using accumulated peak spectrum and sparse estimation technique[J].IEEE Transactions on Audio Speech&Language Processing,2013,21(1):97-107.
[9]齐俊德,李山,陈冰.基于小波包能量矩阵的轴承信号特征提取[J].振动与冲击,2013,32(21):170-111.QI Junde,LI Shan,CHEN Bin.Feature extraction of bearing vibration signals based on wavelet energy matrix[J].Journal of Vibration and Shock,2013,32(21):170-111.
[10]HUANG J C,ZHANG X,ZHOU Q W,et al.A practical fundamental frequency extraction algorithm for motion parameters estimation of moving targets[J].IEEE Transactions on instrumentation and measurement,2014,63(2):267-276.
[11]徐静云,赵晓群,王峤,等.基于幅度压缩滤波的清浊音分类及基音估计[J].电子与信息学报,2016,38(3):587-593.XU Jingyun,ZHAO Xiaoqun,WANG Qiao,et al.Voiced/Unvoiced classification and pitch estimation based on amplitude compression filter[J].Journal of Electronics&Information Technology,2016,38(3):587-593.
[12]CHEVEIGNE A D,KAWAHARA H.YIN,a fundamental frequency estimator for speech and music[J].The Journal of the Acoustical Society of America,2002,111(4):1917-1930.
[13]RABINER L,CHENG M,ROSENBERG A E,et al.A comparative performance study of several pitch detection algorithms[J].IEEE Transactions on Acoustics,Speech and Signal Processing,1976,24(5):399-418.