基于正交匹配追踪算法定位管道内旋转声源
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- 英文论文题名：Location of rotating sound sources in duct based on the orthogonal matching pursuit algorithm
- 论文作者：许丹 ; 张小正 ; 毕传兴
- 英文论文作者：XU Dan ; ZHANG Xiao-zheng ; BI Chuan-xing ; Institute of Sound and Vibration Research ; Hefei University of Technology
- 年：2016
- 作者机构：合肥工业大学噪声振动工程研究所;
- 论文关键词：旋转声源定位 ; 多普勒效应 ; 旋转框架 ; 正交匹配追踪算法
- 英文论文关键词：Location of rotating sound sources ; Doppler effect ; rotating frame ; Orthogonal Matching Pursuit algorithm
- 会议召开时间：2016-10-28
- 会议录名称：2016年全国声学学术会议论文集
- 语种：中文
- 分类号：O42
- 学会代码：OGSM
- 会议名称：2016年全国声学学术会议
- 会议地点：中国湖北武汉
- 主办单位：中国声学学会
- 学会名称：中国声学学会
- 页数：4
- 文件大小：443k
- 原文格式：D
- 会议级别：全国
摘要
本文提出了一种基于正交匹配追踪算法的管道内旋转声源定位方法。该方法首先采用旋转框架技术消除声源旋转导致的多普勒效应,建立旋转框架下的声压与所求声源源强之间的传递关系,然后基于所建立的传递关系,并结合正交匹配追踪算法实现管道内旋转声源的定位。相较于基于波束形成算法和反技术算法的管道内旋转声源定位方法,由于本文所采用的正交匹配追踪算法是一种压缩感知算法,因此它可以利用较少的传声器达到准确定位声源的目的,进而可以减少测量成本、提高测量效率。数值仿真验证了本文所提方法的有效性和优越性。
A method of locating rotating sound sources in duct is proposed based on the Orthogonal Matching Pursuit(OMP) algorithm. In the method, the rotating frame technique is firstly used to remove the Doppler effect caused by source rotation and to establish a relationship between the measured pressure and the desired source strength. Then, based on the established relationship, the location of rotating sound sources in duct is realized with the OMP algorithm. Comparing with the methods based on beamforming and the inverse technique, the proposed method based on the OMP algorithm can accurately locate the positions of rotating sound sources with less microphones due to that the OMP algorithm is actually a kind of compressed sensing algorithms. Therefore, the proposed method can reduce the measurement cost and improve the measurement efficiency. Numerical simulations verify the validity and superiority of this method.
A method of locating rotating sound sources in duct is proposed based on the Orthogonal Matching Pursuit(OMP) algorithm. In the method, the rotating frame technique is firstly used to remove the Doppler effect caused by source rotation and to establish a relationship between the measured pressure and the desired source strength. Then, based on the established relationship, the location of rotating sound sources in duct is realized with the OMP algorithm. Comparing with the methods based on beamforming and the inverse technique, the proposed method based on the OMP algorithm can accurately locate the positions of rotating sound sources with less microphones due to that the OMP algorithm is actually a kind of compressed sensing algorithms. Therefore, the proposed method can reduce the measurement cost and improve the measurement efficiency. Numerical simulations verify the validity and superiority of this method.
引文
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[2]Christensen J J,Hald J.Technical Review Beamforming[J].B&K,Danmark,No.1,2004:3-12.
[3]Lowis C R,Joseph P F.Determining the strength of rotating broadband sources in ducts by inverse methods[J].Journal of Sound and Vibration,2006,295:614-632.
[4]Lowis C R.In-duct measurement techniques for the characterisation of broadband aeroengine noise[D].University of Southampton,UK,2007.
[5]Heo Y-H,Ih J-G,Bodén H.In-duct identification of a rotating sound source with high spatial resolution[J].Journal of Sound and Vibration,2015,357:51-73.
[6]Padois T,Berry A.Orthogonal matching pursuit applied to the deconvolution approach for the mapping of acoustic sources inverse problem[J].Journal of the Acoustical Society of America,2015,138(6):3678-3685.
[7]Peillot A,Ollivier F.Localization and identification of sound sources using“compressive sampling”techniques[C]//18th International Congress on Sound and Vibration.Rio de Janeiro,Brazil:ICSV18,2011.10-14.
[8]Donoho D.Compressed sensing[J].IEEE Transactions on Information Theory,2006,52:1289-1306.
[9]Goldstein M E,Aeroacoustics[M].New York:Mc Graw-Hill,1976.
[10]Poletti M A.Cylindrical harmonic expansion of the sound field due to a rotating line source[C]//20th International Congress on Acoustics.Sydney,Australia:ICA,2010.23-27.