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Iterative optimization algorithm for sound localization

机译:声音定位的迭代优化算法

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A seven-microphone array with three microphones in each axis is presented in this paper. Self-calibration can be achieved with the array structure in three-dimensional space. A traditional generalized cross correlation is used to obtain the time-delay among microphones. Then, we proposed a resolving algorithm based on the iterative optimization. Accurate sound source localization can be realized by approaching the target for not only far field but also near field with the numerical solution constantly. Experimental results demonstrate a good performance in localization. It should be emphasized that the space of RAM and ROM occupied by algorithm is small and the speed of computation is fast. Last but not least, traditional approximate formulas are based on the localization of far-field, but our iterative optimization algorithm can be applied accurately for both far-field and near-field.
机译:本文介绍了一个在每个轴上具有三个麦克风的七麦克风阵列。利用三维空间中的阵列结构可以实现自校准。传统的广义互相关用于获得麦克风之间的时间延迟。然后,我们提出了一种基于迭代优化的解析算法。通过不断地用数值解逼近远场和近场的目标,可以实现精确的声源定位。实验结果证明了在定位方面的良好性能。需要强调的是,算法占用的RAM和ROM空间很小,计算速度也很快。最后但并非最不重要的一点是,传统的近似公式基于远场的定位,但是我们的迭代优化算法可以准确地应用于远场和近场。

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