Dynamic measurement of sound fields using compressed sensing

使用压缩感知动态测量声场

• 批准号: 273246319
• 负责人: Professor Dr.-Ing. Alfred Mertins
• 金额: --
• 依托单位: Institut für Signalverarbeitung (ISIP)
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2015
• 资助国家: 德国
• 起止时间: 2014-12-31 至 2022-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/273246319?language=en
• 关键词: Dynamic; measurement; sound; fields; using

The objective of the proposed research is to explore the possibilities of measuring sound fields (plenacoustic functions) with moving microphones by making use of the theory of compressed sensing and to develop the corresponding tools. At first, a single omnidirectional microphone is considered for which the spatial location is assumed to be known during the entire measurement with respect to the initial position. This can be achieved in practice by either moving the microphone in a controlled way (e.g., by a robot arm) or by carrying out random movement by some other means and observing the microphone position with a fast tracking device. By exploiting the position information within a compressed-sensing based measurement, the proposed approach has the potential to capture the sound fields within a given volume by using only a hand-held microphone that is quasi randomly moved. A number of advantages is expected over methods that capture sound fields with large arrays of spatially distributed microphones. For example, with one microphone, no exact microphone calibration is needed. The practical applications are manifold, from listening-room-compensation over optimum loudspeaker placement to architectural acoustics, where reliable sound-field measurements could be obtained with a minimum of equipment. The second phase of the project will be directed toward optimizing spatial adaptivity and providing solutions for the multichannel case with several simultaneously active sources, including the use of moving microphone arrays.

该研究的目的是探索利用压缩感知理论测量声场（plenacoustic函数）的可能性，并开发相应的工具。首先，考虑单个全向麦克风，假设其空间位置在相对于初始位置的整个测量期间是已知的。这在实践中可以通过以受控的方式移动麦克风（例如，通过机器人臂）或通过一些其它装置执行随机移动并利用快速跟踪设备观察麦克风位置。通过利用基于压缩感测的测量内的位置信息，所提出的方法具有通过仅使用准随机移动的手持式麦克风来捕获给定体积内的声场的潜力。与利用空间分布的麦克风的大阵列捕获声场的方法相比，预期有许多优点。例如，对于一个麦克风，不需要精确的麦克风校准。实际应用是多方面的，从最佳扬声器位置的室内补偿到建筑声学，其中可以用最少的设备获得可靠的声场测量。该项目的第二阶段将致力于优化空间自适应性，并为多个同时活跃的源的多通道情况提供解决方案，包括使用移动麦克风阵列。