论文标题
和弦：带有分布式麦克风的声学信号纯化
ChordMics: Acoustic Signal Purification with Distributed Microphones
论文作者
论文摘要
声学信号是许多系统的重要输入。但是，纯声信号很难提取，尤其是在嘈杂的环境中。现有的波束形成系统能够提取从某些方向传输的信号。但是，由于麦克风是在中央部署的，因此这些系统的覆盖率有限，空间分辨率低。我们克服了上述局限性，并呈现弦弦，这是一个分布式波束形成系统。通过利用分布式麦克风的空间多样性，Chordmics能够从任意点提取声学信号。为了实现这样的系统，我们进一步解决了分布式波束形成方面的基本挑战：对齐通过分布式和非同步麦克风捕获的信号。我们实施和弦并评估其在LOS和NLOS方案下的性能。评估结果表明，弦琴可以比集中式麦克风阵列提供更高的SINR。平均性能增益高达15dB。
Acoustic signal acts as an essential input to many systems. However, the pure acoustic signal is very difficult to extract, especially in noisy environments. Existing beamforming systems are able to extract the signal transmitted from certain directions. However, since microphones are centrally deployed, these systems have limited coverage and low spatial resolution. We overcome the above limitations and present ChordMics, a distributed beamforming system. By leveraging the spatial diversity of the distributed microphones, ChordMics is able to extract the acoustic signal from arbitrary points. To realize such a system, we further address the fundamental challenge in distributed beamforming: aligning the signals captured by distributed and unsynchronized microphones. We implement ChordMics and evaluate its performance under both LOS and NLOS scenarios. The evaluation results tell that ChordMics can deliver higher SINR than the centralized microphone array. The average performance gain is up to 15dB.
