论文标题
快速交叉相关，以估算小孔麦克风阵列的TDOA估计
Fast Cross-Correlation for TDoA Estimation on Small Aperture Microphone Arrays
论文作者
论文摘要
本文介绍了快速交叉相关方法（FCC）方法，用于在小孔径麦克风阵列上对麦克风对的时间差（TDOA）估计。 FCC依赖于低排放的分解，并在偶数基础上利用对称性来加快计算的速度，同时保持TDOA准确性。与最新的依赖于快速傅立叶变换（FFT）的最新广义互相关（GCC）方法相比，FCC的拖失量的数量减少了4.5倍，并且在嵌入式硬件上以3.5至8.3的执行速度减少了执行速度。这种改进可以为便携式麦克风阵列提供延长的电池寿命，并允许在低成本硬件上进行实时处理。
This paper introduces the Fast Cross-Correlation (FCC) method for Time Difference of Arrival (TDoA) Estimation for pairs of microphones on a small aperture microphone array. FCC relies on low-rank decomposition and exploits symmetry in even and odd bases to speed up computation while preserving TDoA accuracy. FCC reduces the number of flops by a factor of 4.5 and the execution speed by factors between 3.5 and 8.3 on embedded hardware, compared to the state-of-the-art Generalized Cross-Correlation (GCC) method that relies on the Fast Fourier Transform (FFT). This improvement can provide portable microphone arrays with extended battery life and allow real-time processing on low-cost hardware.
