智能手机之间的距离测量在特设的相机阵列,使用听觉PRBS

Pádraic McEvoy, D. Berry, Ted Burke
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引用次数: 0

摘要

本文提出了一种测量两个智能手机之间距离的方法。该方法利用每个智能手机的麦克风和扬声器同时发射和记录音频,从而计算声音传播延迟和距离。每个设备依次发出不同的可听伪随机二进制序列(PRBS) -具体来说,是最大长度序列(MLS)。每个设备在一个连续记录中捕获两个发射信号。设备之间的传播延迟通过比较它们各自的记录来计算,特别是在每个记录中发射信号的时间位置。每个设备发出一个信号,记录两个信号,然后将其记录发送到主设备进行分析,该分析由自定义web应用程序执行,因此独立于操作系统。首次测试的平均误差为32.29毫米,测试对象是运行Android 10系统的三星Galaxy A10手机。这种方法的关键创新之处在于,它不需要设备之间的时钟时间同步,因为距离是通过比较两个记录中的传输延迟来确定的。讨论了未来可能的改进,包括如何考虑每部手机麦克风和扬声器的确切位置以提高准确性。
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Distance measurement between smartphones within an ad-hoc camera array, using audible PRBS
An approach for measuring the distance between two smartphones is presented in this paper. The method uses each smartphone’s microphone(s) and speaker(s) to concurrently emit and record audio in order to calculate the sound propagation delay and hence distance. Each device in turn emits a different audible pseudo-random binary sequence (PRBS) - specifically, a maximum length sequence (MLS). Each device captures both emitted signals in one continuous recording. The propagation delay between the devices is calculated by comparing their respective recordings, and in particular the temporal positions of the emitted signals within each recording. Each device emits one of the signals, records both signals, and then sends its recording to a master device for analysis, which is performed by a custom web application and is therefore independent of operating system. A mean error of 32.29 mm was found in initial testing, which was conducted using Samsung Galaxy A10 devices running Android 10. The key innovation in this method is that it requires no clock time synchronisation between devices because the distance is determined by comparing inter-transmission delays in the two recordings. Potential future improvements are discussed, including how to take into account the exact locations of each phone’s microphone and speaker to increase accuracy.
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