小口径传声器阵列TDoA估计的快速互相关算法
Fast Cross-Correlation for TDoA Estimation on Small Aperture Microphone Arrays
摘要：
本文介绍了一种用于小口径传声器阵列中传声器对到达时间差估计的快速互相关方法。FCC依赖于低秩分解，并利用偶数和奇数基中的对称性来加速计算，同时保持TDoA精度。与依赖于快速傅里叶变换（FFT）的最先进的广义互相关（GCC）方法相比，FCC在嵌入式硬件上将触发器数量减少了4.5倍，执行速度减少了3.5到8.3倍。这种改进可以提供具有延长的电池寿命的便携式麦克风阵列，并允许在低成本硬件上进行实时处理。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
