一种用于声源定位的改进的广义互相关时延估计算法  

Improved generalized cross-correlation time delay estimation algorithm for sound source localization

作　　者：梁家碧 邵剑 李群 吴鹏 林元棣 王同磊 李晓涵 刘进栋 LIANG Jiabi;SHAO Jian;LI Qun;WU Peng;LIN Yuanli;WANG Tonglei;LI Xiaohan;LIU Jindong(Electric Power Research Institute,State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 211103,China;Key Laboratory of Specialty Fiber Optics and Optical Access Networks,Shanghai University,Shanghai 200444,China)

机构地区：[1]国网江苏省电力有限公司电力科学研究院,南京211103 [2]上海大学特种光纤与光接入网重点实验室,上海200444

出　　处：《光通信技术》2024年第6期28-33,共6页Optical Communication Technology

基　　金：国网江苏省电力有限公司科技项目(J2023093)资助。

摘　　要：针对广义互相关(GCC)算法在强噪声环境下定位精度较低的问题,提出了一种改进的GCC时延估计算法。该算法将最小均方(LMS)算法与二次互相关法结合起来,以此改进传统的GCC算法,从而有效地抑制了噪声的影响,并且通过使用样条插值技术,在二次峰值检测过程中显著提高了时延估计的准确性。仿真结果表明,该算法使得声源坐标位置的误差控制由传统GCC算法的17.7%降低至8.36%以内;而在实际应用测试中,声源坐标位置的误差也由传统GCC算法的42.2%大幅降低至15.4%。To address the issue of low localization accuracy of the generalized cross-correlation(GCC)algorithm in strong noise environments,an improved GCC time delay estimation algorithm is proposed.This algorithm combines the least mean squares(LMS)algorithm with the quadratic cross-correlation method to enhance the traditional GCC algorithm,effectively suppressing the impact of noise.Additionally,spline interpolation techniques are used to significantly improve the accuracy of time delay estimation during the secondary peak detection process.The simulation results show that this algorithm reduces the error in sound source coordinate positioning from 17.7%with the traditional GCC algorithm to within 8.36%.In practical application tests,the error in sound source coordinate positioning is also significantly reduced from 42.2%with the traditional GCC algorithm to 15.4%.

关 键 词：光纤麦克风 改进时延估计 超声 声源定位 局部放电 

分 类 号：TN256[电子电信—物理电子学]