I-Corps: Optimizing Sensor Arrays for Waveform Enhancement

I-Corps：优化传感器阵列以增强波形

• 批准号: 1440493
• 负责人: Radu Balan
• 金额: $ 5万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-06-01 至 2014-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1440493&HistoricalAwards=false
• 关键词: Corps; Optimizing; Sensor; Arrays; Waveform

The proposed system consists of an optimized large scale microphone array that allows spatial audio selection. This system can focus in on a target source while suppressing interferences from a wide variety of locations. In other words, the proposed system allows users to listen in on selected target source even though the source may be surrounded by a host of other interfering sources. The proposed technology achieves significant gains over current microphone array implementations through joint optimization of microphone placement and design.The proposed technology can process acoustic and electromagnetic waveforms to discover both the number and location of sources in multi-path, noisy environments. The technology separates each source by either cancelling or attenuating interferences and identifies previously recognized sources. Additionally the technology works in environments where sources both move and outnumber the number of sensors. The technology optimizes sensor placement and processing using state of the art optimization and statistical modeling techniques.

所提出的系统由优化的大规模麦克风阵列组成，允许空间音频选择。该系统可以聚焦目标源，同时抑制来自各个位置的干扰。换句话说，所提出的系统允许用户监听选定的目标源，即使该源可能被许多其他干扰源包围。 通过麦克风布局和设计的联合优化，所提出的技术比当前的麦克风阵列实现取得了显着的进步。所提出的技术可以处理声学和电磁波形，以发现多路径、噪声环境中的声源数量和位置。该技术通过消除或减弱干扰来分离每个源，并识别先前识别的源。此外，该技术适用于源移动且数量超过传感器数量的环境。该技术使用最先进的优化和统计建模技术来优化传感器的放置和处理。