Chu Zhigang, Weng Jing, Yang Yang
State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing 400044, People's Republic of China.
J Acoust Soc Am. 2020 Apr;147(4):2098. doi: 10.1121/10.0000973.
The generalized cross-correlation (GCC) based inverse model is a promising time domain localization technique for a broadband acoustic source. Its performance is affected by the temporal width threshold of the propagation model matrix. The appropriate threshold should vary with focus distance, array geometry, and array size, but there is still a lack of uniform and effective methods to determine it. To solve this issue and perfect the technique, a method is proposed based on the cumulative probability of all differences of time delay estimation between the focus point and the microphone pair. Further, an alternative propagation model matrix is derived, which circumvents the threshold. Both proposed methods are effective under different simulation and experimental configurations, with strong stability and adaptability to focus distance, array geometry, and array size. The GCC based inverse model with either proposed method not only enjoys satisfactory source localization performance, including narrow mainlobes, few spurious sources, and highlighted source positions, but also can correctly estimate the sound level, which is comparable to that with the preset appropriate temporal width threshold. In terms of the computational time, the inverse model with the latter proposed method outperforms that with the former one.
基于广义互相关（GCC）的逆模型是一种很有前景的宽带声源时域定位技术。其性能受传播模型矩阵的时间宽度阈值影响。合适的阈值应随聚焦距离、阵列几何形状和阵列大小而变化，但仍缺乏统一有效的确定方法。为解决这一问题并完善该技术，提出了一种基于聚焦点与传声器对之间时延估计所有差值的累积概率的方法。此外，还推导了一种替代传播模型矩阵，该矩阵规避了阈值。所提出的两种方法在不同的仿真和实验配置下均有效，对聚焦距离、阵列几何形状和阵列大小具有很强的稳定性和适应性。采用任一提出方法的基于GCC的逆模型不仅具有令人满意的声源定位性能，包括主瓣窄、伪声源少和声源位置突出，而且还能正确估计声级，与预设合适时间宽度阈值时的情况相当。在计算时间方面，后一种提出方法的逆模型优于前一种。
