论文标题
空间选择性主动噪声控制系统
Spatially Selective Active Noise Control Systems
论文作者
论文摘要
主动噪声控制（ANC）系统通常是为实现最大声音降低而设计的，而不管声音的入射方向如何。当存在所需的声音时，最新的方法添加了一个单独的系统来重建它。这可能导致失真和延迟。在这项工作中，我们提出了一个多通道ANC系统，该系统只能从不希望的方向降低声音，并且该系统真正保留了所需的声音而不是再现它。所提出的算法对混合ANC成本函数施加了空间约束，以达到空间选择性。基于一对增强眼镜上的六通道麦克风阵列，结果表明，该系统仅将来自不希望的方向带来的噪声最小化。即使阵列严重扰动，也可以保持控制性能。还将提出的算法与文献中现有方法进行了比较。提出的系统不仅提供了更好的降噪功能，而且还需要减少努力。双耳定位提示不需要重建，因为该系统将物理声波从所需的来源保存下来。
Active noise control (ANC) systems are commonly designed to achieve maximal sound reduction regardless of the incident direction of the sound. When desired sound is present, the state-of-the-art methods add a separate system to reconstruct it. This can result in distortion and latency. In this work, we propose a multi-channel ANC system that only reduces sound from undesired directions, and the system truly preserves the desired sound instead of reproducing it. The proposed algorithm imposes a spatial constraint on the hybrid ANC cost function to achieve spatial selectivity. Based on a six-channel microphone array on a pair of augmented eyeglasses, results show that the system minimized only noise coming from undesired directions. The control performance could be maintained even when the array was heavily perturbed. The proposed algorithm was also compared with the existing methods in the literature. Not only did the proposed system provide better noise reduction, but it also required much less effort. The binaural localization cues did not need to be reconstructed since the system preserved the physical sound wave from the desired source.
