Source localization is a common problem in various fields and has applications in both military and civil sectors. Localization of acoustic sources generally requires a few microphones, but it is also possible to use a single microphone and data that was prerecorded in the same environment. Unfortunately, existing single-microphone localization methods are restricted to acoustic sources that have a fixed location. In this paper, we introduce a supervised method for estimating both the location and velocity of a moving acoustic source, using a single microphone based on a manifold learning approach. Simulation results demonstrate the sensitivity of the algorithm to variations in the speed of the sources, resulting in a tradeoff between the accuracy of the estimated location and the accuracy of the estimated direction. In addition, the results demonstrate the sensitivity to variations in direction and frame length of the received signal. The algorithm performs well in reverberant and noisy environments, yet is sensitive to environmental conditions changes.

Eran Zeitouni

Israel Cohen

Applied Acoustics

自 1968 年成立以来，APPLIED ACOUSTICS 一直在发表高质量的研究论文，为从事最广泛意义上的声学应用的工程师和科学家提供最先进的研究成果报道。APPLIED ACOUSTICS 不仅着眼于最近的发展对声学的理解，以及利用这种理解的方式。该杂志旨在鼓励通过出版交流实践经验，并以此创建可用于解决相关问题的技术信息基金。特别鼓励以图形或表格形式呈现信息。如果数学发展报告是论文的必要部分，那么重要的是要确保它只是作为问题的实际解决方案的一个组成部分，并有数据支持。 APPLIED ACOUSTICS 鼓励通过以下方式交流实践经验： • 完整的论文 • 简短的技术说明 • 评论文章；从而提供了丰富的技术信息，可用于解决相关问题。欢迎提交涉及从医学和无损检测到环境和建筑物的声学应用的所有领域的手稿。

Since its establishment in 1968, Applied Acoustics has been publishing high-quality research papers, providing cutting-edge research findings for engineers and scientists engaged in the broadest sense of acoustic applications. The journal not only focuses on the latest developments in understanding acoustics but also explores ways to utilize this understanding. It aims to encourage the exchange of practical experiences through publication, thereby creating a technical information foundation that can be used to address relevant issues. Information is particularly encouraged to be presented in graphical or tabular form. If mathematical developments are a necessary part of the paper, it is important to ensure that they are merely a component of the practical solution to the problem, supported by data. Applied Acoustics encourages the exchange of practical experiences through the following means: • Full papers • Short technical notes • Review articles; thus providing a wealth of technical information that can be used to solve relevant problems. Manuscripts covering all areas of acoustic applications, from medicine and non-destructive testing to environmental and architectural acoustics, are welcome.

自1968年创刊以来，《Applied Acoustics》一直致力于发表高质量的研究论文，为从事声学应用的工程师和科学家提供前沿的研究成果。该期刊不仅关注声学理解的最新发展，还探讨如何利用这些理解。期刊旨在通过出版交流实践经验，建立可用于解决相关问题的技术信息基础。特别鼓励以图表形式呈现信息。如果数学推导是论文的必要部分，重要的是确保它仅作为实际问题解决方案的一个组成部分，并有数据支持。《Applied Acoustics》鼓励通过以下方式交流实践经验：• 完整论文 • 简短技术说明 • 评论文章，从而提供丰富的技术信息，以解决相关问题。欢迎提交涉及医学、无损检测、环境和建筑声学应用等各个领域的手稿。

Single-sensor localization of moving acoustic sources using diffusion kernels

This paper introduces a supervised method for estimating both the location and velocity of a moving acoustic source, using a single microphone based on a manifold learning approach, and demonstrates the sensitivity to variations in direction and frame length of the received signal.

Category	Quartile
物理与天体物理	2
物理与天体物理, 声学	3

Single-sensor localization of moving acoustic sources using diffusion kernels

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