在近距离,远距离和混合场景下适用的多个源到达方向估计
Yonggang Hu1, Tianpeng Mao1, Hewen Wei1
1Shanghai Branch of the Southwest Institute of Electronics and Telecommunication Technology of China, Shanghai 200434, China.
The Journal of the Acoustical Society of America
|May 8, 2024
概括
这项研究引入了一种用于到达方向 (DOA) 估计的新方法,可以在近距离,远距离和混合场环境中准确地定位多个声音源,而不需要专门的调整. 一般化的相对系数功能使得在不同的声条件下统一的DOA估计成为可能.
科学领域:
- 声学和信号处理
- 计算审计场景分析 场景分析
背景情况:
- 抵达方向 (DOA) 估计传统上将近场和远场场景分开,需要不同的声学模型和声场探测器.
- 混合场场景,即近场和远场源并存的场景,由于声音场类型之间缺乏明确的界限,造成了挑战.
研究的目的:
- 开发一个统一的多源DOA估计器,能够在没有专门调整的情况下定位近距离,远距离和混合场环境中的源.
- 引入一种新的信号不变特性,在不同的声条件下进行一致的DOA估计.
主要方法:
- 信号不变的多通道特征的定义:在球体波域中的一般化相对波系数.
- 导出特征的分析表达式和属性,证明近距离和远距离场源的一致性.
- 根据特征的幅度和相位,分别估计源的高度和 азимут,然后通过聚类计算源数和DOA定位.
主要成果:
- 拟议的算法有效地定位多个近距离,远距离和混合场源.
- 在模拟和现实环境中的实验结果验证了算法在各种声学场景中的性能.
- 与基线方法相比,表现出优越性,特别是在定位混合场源方面.
结论:
- 开发的一般化相对子系数为多源DOA估计提供了统一的方法.
- 该算法有效地处理复杂的声学环境,包括混合场景,提供更好的定位精度.
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