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Position calibration of acoustic sensors and actuators on distributed general purpose computing platforms.

机译:分布式通用计算平台上声学传感器和执行器的位置校准。

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An algorithm is presented to automatically determine the relative 3D positions of audio sensors and actuators in an ad-hoc distributed network of heterogeneous general purpose computing platforms. A closed form approximate solution is derived; which is further refined by minimizing a non-linear error function. Our formulation and solution accounts for the lack of temporal synchronization among different platforms. We also derive an approximate expression for the mean and covariance of the implicitly defined estimator. The theoretical performance limits for the sensor positions are derived and analyzed with respect to the number of sensors and actuators as well as their geometry. We report extensive simulation results and discuss the practical details of implementing our algorithms.
机译:提出了一种算法,可自动确定异构通用计算平台的自组织分布式网络中音频传感器和执行器的相对3D位置。得出一个封闭形式的近似解;通过最小化非线性误差函数进一步完善。我们的公式和解决方案解决了不同平台之间缺乏时间同步的问题。我们还导出了隐式定义的估计量的均值和协方差的近似表达式。根据传感器和执行器的数量及其几何形状,得出并分析传感器位置的理论性能极限。我们报告了广泛的仿真结果,并讨论了实现算法的实用细节。

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