AIM: Acoustic Imaging on a Mobile

AIM: Acoustic Imaging on a Mobile
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DOI:
10.1145/3210240.3210325
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发表时间:
2018-06
期刊:
Proceedings of the 16th Annual International Conference on Mobile Systems, Applications, and Services
影响因子:
--
通讯作者:
Wenguang Mao;Mei Wang;L. Qiu
Wenguang Mao;Mei Wang;L. Qiu
中科院分区:
其他
文献类型:
--
作者:
Wenguang Mao;Mei Wang;L. Qiu

文献摘要

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智能手机的普及率以前所未有的速度增长,这使得基于智能手机的成像特别有吸引力。在本文中,我们开发了一种新的声学成像系统,只使用现成的智能手机。这是一个有吸引力的替代相机成像在黑暗和障碍。我们的系统是基于合成孔径雷达(SAR)。为了对对象进行成像,用户沿着预定义的轨迹移动电话以模仿虚拟传感器阵列。基于SAR的成像在我们的背景下提出了几个新的挑战,包括强烈的自干扰和背景干扰,由于手抖动而偏离期望的轨迹,以及严重的扬声器/麦克风失真。我们通过开发一个2阶段的干扰消除方案,一个新的算法来补偿轨迹误差,和一个有效的方法,以尽量减少信号失真的影响,以解决这些挑战。我们在三星S7上实现了概念验证系统。我们的研究结果证明了声成像在移动的上的可行性和有效性。
The popularity of smartphones has grown at an unprecedented rate, which makes smartphone based imaging especially appealing. In this paper, we develop a novel acoustic imaging system using only an off-the-shelf smartphone. It is an attractive alternative to camera based imaging under darkness and obstruction. Our system is based on Synthetic Aperture Radar (SAR). To image an object, a user moves a phone along a predefined trajectory to mimic a virtual sensor array. SAR based imaging poses several new challenges in our context, including strong self and background interference, deviation from the desired trajectory due to hand jitters, and severe speaker/microphone distortion. We address these challenges by developing a 2-stage interference cancellation scheme, a new algorithm to compensate trajectory errors, and an effective method to minimize the impact of signal distortion. We implement a proof-of-concept system on Samsung S7. Our results demonstrate the feasibility and effectiveness of acoustic imaging on a mobile.