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.

拟议的研究的目的是通过利用压缩感应理论并开发相应的工具来探索通过移动麦克风测量声场（全质功能）的可能性。首先，考虑到单个全向麦克风，假定在整个初始位置的整个测量过程中，假定空间位置已知。这可以在实践中通过以受控方式（例如，通过机器人组）移动麦克风，或者通过某些其他方式进行随机运动，并使用快速跟踪设备观察麦克风位置。通过在基于压缩感应的测量中利用位置信息，提出的方法有可能通过仅使用准随机移动的手持麦克风来捕获给定音量内的声场。与捕获具有大量空间分布麦克风阵列的声场相比，预期有许多优势。例如，使用一个麦克风，无需精确的麦克风校准。实用的应用是多种多样的，从最佳扬声器放置的聆听室补偿到建筑声学，可以使用最少的设备获得可靠的声场测量值。该项目的第二阶段将用于优化空间适应性，并为多通道案例提供一些同时有效源的解决方案，包括使用移动麦克风阵列。