| 基于改进GCC-PHAT声源定位方法的研究 |
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| 引用本文：刘力，许贵诚，农汉彪，黄旭就，陈广桢，曹文明.基于改进GCC-PHAT声源定位方法的研究[J].计算技术与自动化,2025,(4):26-30 |
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| 中文摘要:针对广义互相关-相位变换方法（GCC-PHAT）在低信噪比条件下声源定位误差较大的问题，提出了一种新的改进算法。改进算法通过减弱噪声互谱，强化主成分的方式得到新的加权函数，以便在低信噪比条件下更准确地估计时延差，再通过麦克风陈列的时延差估计出声源的方位。仿真数据实验，验证了改进算法的有效性，并与现有算法进行比较，结果表明在低信噪比条件下改进算法具有更高的准确性，在不同角度的识别结果中，改进算法的识别平均绝对角度误差约为现有方法的68%。 |
| 中文关键词:声源定位 麦克风阵列 GCC-PHAT 时延估计 |
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| Research on Improved GCC-PHAT Sound Source Localization Method |
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| Abstract:A new improved algorithm is proposed to address the problem of significant localization errors in the generalized cross-correlation phase transformation method (GCC-PHAT) under low SNR conditions. The improved algorithm obtains a new weighting function by weakening the noise cross-spectrum and strengthening the principal components, in order to more accurately estimate the time delay difference under low SNR conditions, and then estimate the direction of the sound source through the time delay difference displayed in the microphone. Simulation data experiments have verified the effectiveness of the improved algorithm and compared it with existing algorithms. The results show that the improved algorithm has higher accuracy under low SNR conditions. In recognition results from different angles, the average absolute angle error of the improved algorithm is about 68% of the existing methods. |
| keywords:sound source localization microphone array GCC-PHAT time-delay estimation |
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