Wang Yanwei, Li Jian, Stoica Petre, Sheplak Mark, Nishida Toshikazu
Department of Electrical and Computer Engineering, University of Florida, Gainesville, Florida 32611, USA.
J Acoust Soc Am. 2004 Feb;115(2):757-67. doi: 10.1121/1.1639906.
Microphone arrays can be used for acoustic source localization and characterization in wind tunnel testing. In this paper, the wideband RELAX (WB-RELAX) and the wideband CLEAN (WB-CLEAN) algorithms are presented for aeroacoustic imaging using an acoustic array. WB-RELAX is a parametric approach that can be used efficiently for point source imaging without the sidelobe problems suffered by the delay-and-sum beamforming approaches. WB-CLEAN does not have sidelobe problems either, but it behaves more like a nonparametric approach and can be used for both point source and distributed source imaging. Moreover, neither of the algorithms suffers from the severe performance degradations encountered by the adaptive beamforming methods when the number of snapshots is small and/or the sources are highly correlated or coherent with each other. A two-step optimization procedure is used to implement the WB-RELAX and WB-CLEAN algorithms efficiently. The performance of WB-RELAX and WB-CLEAN is demonstrated by applying them to measured data obtained at the NASA Langley Quiet Flow Facility using a small aperture directional array (SADA). Somewhat surprisingly, using these approaches, not only were the parameters of the dominant source accurately determined, but a highly correlated multipath of the dominant source was also discovered.
麦克风阵列可用于风洞测试中的声源定位和特性分析。本文提出了用于声学阵列气动声学成像的宽带RELAX(WB-RELAX)算法和宽带CLEAN(WB-CLEAN)算法。WB-RELAX是一种参数化方法,可有效用于点源成像,不存在延迟求和波束形成方法所面临的旁瓣问题。WB-CLEAN也不存在旁瓣问题,但它更像是一种非参数化方法,可用于点源和分布式源成像。此外,当快照数量较少和/或源之间高度相关或相干时,这两种算法都不会出现自适应波束形成方法所遇到的严重性能下降问题。采用两步优化程序来高效实现WB-RELAX和WB-CLEAN算法。通过将WB-RELAX和WB-CLEAN应用于使用小孔径定向阵列(SADA)在NASA兰利安静流动设施获得的测量数据,展示了它们的性能。有点令人惊讶的是,使用这些方法,不仅准确确定了主导源的参数,还发现了主导源的高度相关多径。