强反射和噪声干扰下的脉冲声源成像方法
|
摘要
针对强反射和背景噪声给脉冲声源成像定位辨识带来干扰的问题,本文以波束形成算法为基础,提出一种在强反射和噪声干扰下的脉冲声源成像方法。不同于常规的有效值输出模式的波束形成方法,本文在将各传声器阵列信号时延叠加后,以叠加信号的最大绝对值作为波束形成的输出,能够提高波束形成方法在强反射和背景噪声干扰下对脉冲声源定位辨识的灵敏度。通过在具有强反射和背景噪声干扰环境下的脉冲声源成像定位实验验证了方法的有效性。
An improved beamforming method is proposed in order to avoid the interference of the intensive acoustic reflection and background noise to acoustic impulse source localization. Unlike the normal beamforming with a root mean square output mode, the proposed method has a maximum absolute value output mode. That is to say the maximum absolute value of the summing signal composed of the time delayed microphone array signals is set as the output. The beamforming with a maximum absolute value output mode is more sensitive to the acoustic impulse source in acoustic reflection and background noise environment. A sound source localization experiment along with its data analysis is conducted to prove the effectiveness of the proposed method.
An improved beamforming method is proposed in order to avoid the interference of the intensive acoustic reflection and background noise to acoustic impulse source localization. Unlike the normal beamforming with a root mean square output mode, the proposed method has a maximum absolute value output mode. That is to say the maximum absolute value of the summing signal composed of the time delayed microphone array signals is set as the output. The beamforming with a maximum absolute value output mode is more sensitive to the acoustic impulse source in acoustic reflection and background noise environment. A sound source localization experiment along with its data analysis is conducted to prove the effectiveness of the proposed method.
引文
[1]Seo D H,Choi J W,Kim Y H.Impulsive sound source localization using peak and RMS estimation of the time-domain beamformer output[J].Mechanical Systems and Signal Processing,2014,49(1):95-105.
[2]刘壮.短时脉冲声源定位技术研究[D].吉林大学,2016.
[3]Juan P Battaner-Moro.A large polar array for full-scale aero-engine noise source location and breakdown[C].12th AIAA/CEAS Aeroacoustics Conference(27th AIAA Aeroacoustics Conference),Cambridge,Massachusetts,USA,2006.
[4]Oerlemans S.Detection of aeroacoustic sound sources on aircraft and wind turbines[M].University of Twente,2009.
[5]Roberto Garcia.Assessment of microphone phased array for measuring launch vehicle lift-off acoustics[R].NASA/TM-2012-217563 USA:NASA,2012.
[6]朱自强,兰世隆.民机机体噪声及其降噪研究[J].航空学报,2015,36(2):406-421.
[7]David P Lockard,William M Humphreys,Mehdi R Khorrami,etc.Comparison of Computational and Experimental Microphone Array Results for an 18%-Scale Aircraft Model[R].NASA-NF1676L-20054,2014.
[8]Humphreys William M,Brooks Thomas F,Bahr Christopher J,etc.Development of a Microphone Phased Array Capability for the Langley 14-by 22-Foot Subsonic Tunnel[R].NASA-NF1676L-17697,NASA,2016.
[9]Garcia Roberto.Assessment of Microphone Phased Array for Measuring Launch Vehicle Lift-off Acoustics[R].NASA/TM-2012-217563,NASA,2012.
[10]乔渭阳,Michel Ulf.二维传声器阵列测量技术及其对飞机进场着陆过程噪声的实验研究[J].声学学报.2001(02):161-168.
[11]孙爽,乔渭阳,黄晓聃.传声器阵列反卷积法在飞机噪声测试中的应用[J].噪声与振动控制.2009,29(05):121-125.
[12]孙爽,乔渭阳,黄晓聃.数控传声器阵列反卷积法对飞机噪音的应用与实验研究[J].应用声学,2012(04):294-302.
[13]陈正武,王勋年,李征初,等.基于声学风洞的麦克风阵列测试技术应用研究[J].实验流体力学.2012,26(03):84-90.
[14]Huang X,Bai L,Vinogradov I,et al.Adaptive beamforming for array signal processing in aeroacoustic measurements[J].The Journal of the Acoustical Society of America.2012,131(3):2152-2161.
[15]周家检,郝璇,张卫民,等.相阵列技术在民机机体气动噪声研究中的应用[J].空气动力学学报,2016,34(1):91-97.
[16]韩凯,孙志强,冯建民,等.飞机结构强度试验中声源定位技术的研究与验证[J].科学技术与工程,2017,17(19):284-289.
[17]韩凯,冯建民,贺谦,等.飞机结构损伤声源定位算法分析[J].工程与试验,2017,57(1):1-4.
[18]Wang J,He Q,Kong F.An improved multiscale noise tuning of stochastic resonance for identifying multiple transient faults in rolling element bearings[J].Journal of Sound and Vibration,2014,333(26):7401-7421.
[19]Lei Y,Lin J,He Z,et al.A review on empirical mode decomposition in fault diagnosis ofrotating machinery[J].Mechanical Systems and Signal Processing,2013,35(1):108-126.
[20]Geoff L.Mc Donald,Qing Zhao.Multipoint Optimal Minimum Entropy Deconvolution and Convolution Fix:Application to vibration fault detection[J].Mechanical Systems and Signal Processing,2017,82:461-477.
[21]付强,魏龙,杨德斌,等.基于倒谱裁剪的反射声波抑制方法及其在噪声场重构中的应用[J].北京科技大学学报,2014,36(6):845-853.
[2]刘壮.短时脉冲声源定位技术研究[D].吉林大学,2016.
[3]Juan P Battaner-Moro.A large polar array for full-scale aero-engine noise source location and breakdown[C].12th AIAA/CEAS Aeroacoustics Conference(27th AIAA Aeroacoustics Conference),Cambridge,Massachusetts,USA,2006.
[4]Oerlemans S.Detection of aeroacoustic sound sources on aircraft and wind turbines[M].University of Twente,2009.
[5]Roberto Garcia.Assessment of microphone phased array for measuring launch vehicle lift-off acoustics[R].NASA/TM-2012-217563 USA:NASA,2012.
[6]朱自强,兰世隆.民机机体噪声及其降噪研究[J].航空学报,2015,36(2):406-421.
[7]David P Lockard,William M Humphreys,Mehdi R Khorrami,etc.Comparison of Computational and Experimental Microphone Array Results for an 18%-Scale Aircraft Model[R].NASA-NF1676L-20054,2014.
[8]Humphreys William M,Brooks Thomas F,Bahr Christopher J,etc.Development of a Microphone Phased Array Capability for the Langley 14-by 22-Foot Subsonic Tunnel[R].NASA-NF1676L-17697,NASA,2016.
[9]Garcia Roberto.Assessment of Microphone Phased Array for Measuring Launch Vehicle Lift-off Acoustics[R].NASA/TM-2012-217563,NASA,2012.
[10]乔渭阳,Michel Ulf.二维传声器阵列测量技术及其对飞机进场着陆过程噪声的实验研究[J].声学学报.2001(02):161-168.
[11]孙爽,乔渭阳,黄晓聃.传声器阵列反卷积法在飞机噪声测试中的应用[J].噪声与振动控制.2009,29(05):121-125.
[12]孙爽,乔渭阳,黄晓聃.数控传声器阵列反卷积法对飞机噪音的应用与实验研究[J].应用声学,2012(04):294-302.
[13]陈正武,王勋年,李征初,等.基于声学风洞的麦克风阵列测试技术应用研究[J].实验流体力学.2012,26(03):84-90.
[14]Huang X,Bai L,Vinogradov I,et al.Adaptive beamforming for array signal processing in aeroacoustic measurements[J].The Journal of the Acoustical Society of America.2012,131(3):2152-2161.
[15]周家检,郝璇,张卫民,等.相阵列技术在民机机体气动噪声研究中的应用[J].空气动力学学报,2016,34(1):91-97.
[16]韩凯,孙志强,冯建民,等.飞机结构强度试验中声源定位技术的研究与验证[J].科学技术与工程,2017,17(19):284-289.
[17]韩凯,冯建民,贺谦,等.飞机结构损伤声源定位算法分析[J].工程与试验,2017,57(1):1-4.
[18]Wang J,He Q,Kong F.An improved multiscale noise tuning of stochastic resonance for identifying multiple transient faults in rolling element bearings[J].Journal of Sound and Vibration,2014,333(26):7401-7421.
[19]Lei Y,Lin J,He Z,et al.A review on empirical mode decomposition in fault diagnosis ofrotating machinery[J].Mechanical Systems and Signal Processing,2013,35(1):108-126.
[20]Geoff L.Mc Donald,Qing Zhao.Multipoint Optimal Minimum Entropy Deconvolution and Convolution Fix:Application to vibration fault detection[J].Mechanical Systems and Signal Processing,2017,82:461-477.
[21]付强,魏龙,杨德斌,等.基于倒谱裁剪的反射声波抑制方法及其在噪声场重构中的应用[J].北京科技大学学报,2014,36(6):845-853.