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Acoustic source localizer using wireless sensor networks

机译:使用无线传感器网络的声学源定向器

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This work describes the implementation of a wireless sensor network (WSN) to locate an acoustic source in two dimensions. The network is made up of three sensor nodes located at the corners of a right triangle; a fourth node in the vicinity of the array acts as a base station providing connection to a notebook; the acoustic source is assumed to be within the rectangular area defined by the three sensors. To detect the sound wave, an analogue circuit activated by sound intensity was designed to cause a hardware interrupt to the nodes. The localization uses the method of the Time Difference of Arrivals (TDoA) of the sound wave to each node pair to build an equation system with three hyperbolic equations, and whose solution is the estimated location of the acoustic source. The non-linear system is solved using an optimization-based numerical method. Although the time synchronization error of the implemented WSN is below 10 microseconds, which makes TDoA suitable, other uncertainties, such as in the actual sound speed and the presence of breeze, does systematically influence the results. The localization errors found in experiments in open environments were below 4%. Specifically, for a 10m×10m area, the worst case deviations are below 44cm for the 90% of the measurements. Finally, the WSN uses IRIS nodes (2.4GHz) which were programmed with TinyOS, and the localization algorithm was fully implemented in JAVA.
机译:这项工作描述了一种无线传感器网络(WSN)的实施在两个维度来定位声源。该网络是由位于直角三角形的角部3的传感器节点的可达;在阵列附近的第四节点充当基站提供连接到笔记本;声源被假定为通过三个传感器所限定的矩​​形区域内。为了检测声波,通过声音强度激活模拟电路被设计成使硬件中断给节点。本地化使用到达的声波到每个节点对建立的方程组具有三个双曲线方程,并且其溶液是声源的估计位置的时间差(TDOA)的方法。非线性系统使用基于优化的数值方法求解。虽然所实现的无线传感器网络的时间同步误差小于10微秒,这使得TDOA合适,其他的不确定性,例如在实际的声音的速度和微风的存在,并系统地影响结果。在开放环境实验中发现的定位误差低于4 %。具体地,对于一个10M的x10米区域,最坏的情况下的偏差低于44厘米用于测量的90 %。最后,使用WSN其被编程以TinyOS的IRIS节点(2.4GHz的),并且定位算法是在JAVA充分执行。

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