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Scalable acoustic imaging platform using MEMS array

机译:使用MEMS阵列的可扩展声成像平台

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The detection and analysis of acoustic sources utilizing microphone arrays is a growing field of research. The evolving needs of applications such as noise suppression, voice recognition, sound tracking and acoustic source localization push requirements such as scalability and speed for sophisticated microphone array systems. Microphone arrays are advantageous compared to single microphone usage in that its use the physical spatial information of acoustic wave propagation to provide a more accurate picture of the incoming waves and therefore yield valuable information regard its source. This paper describes a broadband MEMS Array acouStic Imaging system called MASI that includes a highly scalable and network enabled FPGA based signal processing hardware for acquisition, processing and imaging. Design issues such as array sensitivity, accuracy and geometry of the array will be discussed as well as the system real-time capabilities regarding signal processing and data acquisition. Spatial localization and tracking are the main target applications for this system.
机译:利用麦克风阵列的声学来源的检测和分析是一种日益增长的研究领域。噪声抑制,语音识别,声音跟踪和声学源定位等应用的不断变化的需求,如复杂麦克风阵列系统的可扩展性和速度等要求。与单个麦克风使用相比,麦克风阵列是有利的,因为它使用声波传播的物理空间信息来提供传入波的更准确的图像,因此产生有价值的信息。本文介绍了一种名为MASI的宽带MEMS阵列声学成像系统,其包括高度可扩展和网络的基于FPGA的信号处理硬件,用于采集,处理和成像。将讨论阵列的阵列灵敏度,准确性和几何形状等设计问题以及关于信号处理和数据采集的系统实时能力。空间本地化和跟踪是该系统的主要目标应用。

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