点击次数：

论文类型：期刊论文

发表时间：2020-01-01

发表刊物：IEEE SIGNAL PROCESSING LETTERS

卷号：27

页面范围：1979-1983

ISSN号：1070-9908

关键字：Geometry calibration; microphone arrays; acoustic transceiver networks

摘要：There are many intelligent devices around us that have the ability to emit and receive audio signals, such as smartphones, smartwatches, and tablets. If they constitute an acoustic transceiver network, it can boost the performance of many audio processing tasks. The speaker localization and tracking algorithms using such a network require the prior information of node positions. To acquire this knowledge, we derive an analytical solution for geometry calibration of acoustic transceiver networks where each node consists of a microphone array and a loudspeaker. Specifically, a linear cost function for node orientations is first established using the delivered direction-of-arrival (DoA) measurements, and its analytical solution is derived. Next, based on the DoA and time-of-arrival (ToA) measurements, another cost function for node positions is formulated, which can also be solved in the closed form. Experimental results show that the proposed method can successfully estimate the geometry structure of acoustic transceiver networks in noisy and reverberant environments. In contrast to most state-of-the-art geometry calibration algorithms, which iteratively solve the calibration problem by optimization methods, the proposed method can decrease the computational complexity greatly.