陈海宏,易永利,韩钰,曹宜登,田一,聂京凯.基于频率滑动广义互相关的电力噪声源定位算法[J].声学技术,2024,43(4):550~556 |
基于频率滑动广义互相关的电力噪声源定位算法 |
Power noise source location algorithm based on frequency sliding generalized cross-correlation |
投稿时间:2023-09-28 修订日期:2023-11-14 |
DOI:10.16300/j.cnki.1000-3630.2024.04.014 |
中文关键词: 声源定位 声学相机 广义互相关 |
英文关键词: sound source localization acoustic camera generalized cross correlation |
基金项目:国网浙江省电力有限公司科技项目(5211WZ22001N)。 |
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中文摘要: |
文章针对电力行业的噪声源定位问题,提出了一种频率滑动广义互相关和一种低秩近似替代方案来处理子带广义互相关矩阵,从而获得更精确的到达时间差估计,然后使用转向响应功率定位算法来对噪声源进行定位。仿真实验表明,该算法相比传统广义互相关可以获得更精确的时间差估计以及更准确的噪声源定位结果。据此设计了一款具备72通道的麦克风阵列声学相机,在实际环境的应用中体现了高定位准确性以及强鲁棒性,同时与使用传统广义互相关的声学相机进行对比测试,试验结果表明该方法的定位结果好于常规的广义互相关时延计算方法。 |
英文摘要: |
Aiming at the noise source localization problem in the power industry, this paper proposes a frequencysliding generalized cross-correlation and a low-rank approximation alternative to process the sub-band generalized cross-correlation matrix and thereby obtain better time difference of arrival estimation. The steering response power localization algorithm is then used to locate the noise signal. The efficacy of this algorithm is demonstrated through simulations, showing superior precision in TDOA estimation and noise source localization compared to the traditional generalized cross-correlation methods. Based on this, an acoustic camera with a 72-channel microphone array is designed, which demonstrates high positioning accuracy and strong robustness in actual environments. At the same time, compared with the acoustic cameras using traditional generalized cross-correlation, the experimental results show that the positioning results of this method are better than those of the conventional generalized cross-correlation delay calculation methods. |
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