Adjoint-based identification of freely moving sound sources

基于伴随的运动声源识别

• 批准号: 504470212
• 负责人: Dr.-Ing. Mathias Lemke
• 金额: --
• 依托单位: Fachgebiet Technische Akustik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/504470212?language=en
• 关键词: Adjoint; based; identification; freely; moving

Today, typically microphone array methods are used to localize and identify sound sources. A distinction is made between methods with signal processing in the time domain and the frequency domain. Besides, a division into beamforming-based methods and inverse methods is common. What all methods have in common is that the determination of sound sources at low frequencies is particularly problematic if the signal-to-noise ratio is very high due to short measurement times and reflective boundaries have to be taken into account. This is especially true for freely moving sound sources. The aim of this project is the development, implementation, and validation of an adjoint-based method for the identification of corresponding sound sources. The time-varying positions of several sound sources, their signal, and, at the same time, their directional characteristics are to be determined based on microphone array measurements. The time-domain method will be able to identify low-frequency sources and separate them from one another based on a small amount of measurement data in time. The method and its implementation are validated against synthetic data. Besides, it is tested with experimental data, in particular train passages and quadcopter overflights, and compared with other already established methods.

今天，通常使用麦克风阵列方法来定位和识别声源。对在时域和频域中进行信号处理的方法进行了区分。此外，波束形成方法和逆方法的划分也很常见。所有方法的共同点是，如果由于测量时间短而信噪比很高，并且必须考虑反射边界，则在低频下确定声源尤其有问题。对于自由移动的声源来说尤其如此。这个项目的目的是开发、实施和验证一种基于伴随的方法来识别相应的声源。几个声源的时变位置、它们的信号以及它们的方向特性将根据麦克风阵列的测量来确定。时域方法将能够识别低频源，并基于少量的测量数据及时将它们彼此分离。利用合成数据对该方法及其实现进行了验证。此外，还用实验数据进行了测试，特别是火车通道和四轴飞行器的飞越，并与其他已建立的方法进行了比较。