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Towards acoustic self-localization of ad hoc smartphone arrays

机译:致力于智能手机阵列的声学自定位

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The advent of the smartphone in recent years opened new possibilities for the concept of ubiquitous computing. We propose to use multiple smartphones spontaneously assembled into an ad hoc microphone array as part of a teleconferencing system. The unknown spatial positions, the asynchronous sampling and the unknown time offsets between clocks of smartphones in the ad hoc array are the main problems for such an application as well as for almost all other acoustic signal processing algorithms. A maximum likelihood approach using time of arrival measurements of short calibration pulses is proposed to solve this self-localization problem. The global orientation of each phone, obtained by the means of nowadays common built-in geomagnetic compasses, in combination with the constant microphone-loudspeaker distance lead to a nonlinear optimization problem with a reduced dimensionality in contrast to former methods. The applicability of the proposed self-localization is shown in simulation and via recordings in a typical reverberant and noisy conference room.
机译:近年来,智能手机的出现为普适计算的概念开辟了新的可能性。我们建议使用多个智能电话作为电话会议系统的一部分,这些智能电话自发地组装到一个专用麦克风阵列中。 ad hoc阵列中智能手机的时钟之间未知的空间位置,异步采样和未知的时间偏移是此类应用以及几乎所有其他声学信号处理算法的主要问题。提出了一种使用短校准脉冲的到达时间测量的最大似然方法来解决此自定位问题。与当今的方法相比,通过当今常见的内置地磁罗盘获得的每个电话的总体方向与恒定的麦克风-扬声器距离相结合,会导致非线性优化问题,并且尺寸减小。拟议的自我定位的适用性在模拟中以及通过在典型的混响和嘈杂的会议室中的录音中得到了展示。

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