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Moving Object Localization Using Sound-Based Positioning System with Doppler Shift Compensation

机译：使用基于声音的多普勒频移补偿定位系统进行运动物体定位

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摘要

Sound-based positioning systems are a potential alternative low-cost navigation system. Recently, we developed such an audible sound-based positioning system, based on a spread spectrum approach. It was shown to accurately localize a stationary object. Here, we extend this localization to a moving object by compensating for the Doppler shift associated with the object movement. Numerical simulations and experiments indicate that by compensating for the Doppler shift, the system can accurately determine the position of an object moving along a non-linear path. When the object moved in a circular path with an angular velocity of 0 to 1.3 rad/s, it could be localized to within 25 mm of the actual position. Experiments also showed the proposed system has a high noise tolerance of up to −25 dB signal-to-noise ratio (SNR) without compromising accuracy.
机译：基于声音的定位系统是潜在的低成本导航系统。最近，我们基于扩频方法开发了这种基于声音的可听定位系统。它可以精确地定位静止的物体。在这里，我们通过补偿与物体运动相关的多普勒频移，将这种定位扩展到运动物体。数值模拟和实验表明，通过补偿多普勒频移，系统可以准确确定沿非线性路径移动的对象的位置。当物体以0至1.3 rad / s的角速度在圆形路径中移动时，它可能会定位在实际位置的25 mm以内。实验还表明，所提出的系统具有高达-25 dB的信噪比（SNR）的高噪声容忍度，而不会影响精度。

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