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TWEET: An Envelope Detection Based Broadband Ultrasonic Ranging System

机译:TWEET:基于包络检测的宽带超声波测距系统

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摘要

Fine-grained location information at long range can benefit many applications of embedded sensor networks and robotics. In this paper, we focus on range estimation -an important prerequisite for fine-grained localization - in the ultrasonic domain for both indoor and outdoor environments, and make three contributions. First, we evaluate the characteristics of broadband signals, and provide useful statistics in their design and engineering to achieve a good trade-off between range and accuracy. Second, to overcome the inaccuracy due to correlation sidelobes, we propose a signal detection technique that estimates the envelope of the correlated pulse using a simple least-square approximation approach, and undertake a simulation study to verify its ranging efficiency on linear chirps. Third, leveraging on the insights obtained from our initial study, we present the design and implementation of TWEET: a mote-based ultrasonic broadband ranging system based on linear chirps using the CSIRO Audio nodes, which comprises of a Fleck-3z mote along with audio codecs and a Blackfin DSP. Our evaluation results indicate that the system is precise enough to support source localization applications: a reliable operational range of 20 m (outdoor) and an average accuracy of < 2 cm with a 95% confidence interval of 2 cm.
机译:远程的细粒度位置信息可以使嵌入式传感器网络和机器人技术的许多应用受益。在本文中,我们将重点放在室内和室外环境的超声域中的距离估计(进行细粒度定位的重要先决条件)上,并做出三个贡献。首先,我们评估宽带信号的特性,并在其设计和工程设计中提供有用的统计数据,以实现范围和精度之间的良好权衡。其次,为了克服由于相关旁瓣引起的不准确性,我们提出了一种信号检测技术,该技术使用简单的最小二乘近似方法来估计相关脉冲的包络,并进行仿真研究以验证其在线性rp上的测距效率。第三,利用从我们的初步研究中获得的见解,我们介绍TWEET的设计和实现:Tweet:基于线性线性调频的基于CSIRO音频节点的基于尘埃的超声波宽带测距系统,其中包括Fleck-3z尘埃和音频编解码器和Blackfin DSP。我们的评估结果表明,该系统足够精确,可以支持源定位应用程序:20 m(室外)的可靠工作范围以及2 cm的95%置信区间的平均精度<2 cm。

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