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Updated: Jun 10, 2025

Flying Insect Detection and Classification with Inexpensive Sensors
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Flying Insect Detection and Classification with Inexpensive Sensors

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基于稀疏贝叶斯式学习的向量水声器的DOA估计方法

Hongyan Wang1, Yanping Bai1, Jing Ren1

  • 1School of Mathematics, North University of China, Taiyuan 030051, China.

Sensors (Basel, Switzerland)
|October 16, 2024
PubMed
概括

这项研究引入了一种新的向量分散贝叶斯学习 (Vector-SBL) 方法,用于使用向量水声机估计到达方向 (DOA). 矢量-SBL方法提高了精度和分辨率,特别是在具有多个或连贯源的具有挑战性的低信号噪声比环境中.

关键词:
在 DOA 估计中,估计了 DOA.压缩感应传感器 压缩感应稀疏的贝叶斯式学习.载波式水电话 载波式水电话

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