基于声学微传感器阵列的能量协同源定位

Y. Hu, Dan Li
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引用次数: 136

摘要

提出了一种基于声能测量的传感器网络源定位方法。该方法利用了声能随与全向声源的距离呈指数衰减的特性。通过比较在同一时间间隔内周围声传感器测得的能量读数,可以准确地估计。我们表明,给定一对传感器的声能读数,潜在目标位置限制在传感器场中的超球体。给定多个传感器声能读数,目标位置被求解为最接近所有相应超球的位置(在最小二乘意义上)。我们进一步将这个非线性最小二乘问题简化为一个无约束的线性最小二乘问题,得到一个封闭形式的解。军用车辆声学数据的实验结果表明,该方法具有广阔的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy based collaborative source localization using acoustic micro-sensor array
A novel sensor network source localization method based on acoustic energy measurements is presented. This method makes use of the characteristics that the acoustic energy decays exponentially with respect to the distance from an omni-directional acoustic source. By comparing energy readings measured at surrounding acoustic sensors during the same time interval can be accurately estimated. We show that the potential target location is restricted to a hyper-sphere in the sensor field given the acoustic energy reading at a pair of sensors. Given multiple sensor acoustic energy readings, the target location is solved as the location that is closest (in the least square sense) to all the corresponding hyper-spheres. We further simplified this nonlinear least square problem to an unconstrained linear least square problem that yields a closed form solution. Experiment results using military vehicle acoustic data show great promise of this novel approach.
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