
测绘学报 ›› 2025, Vol. 54 ›› Issue (7): 1206-1214.doi: 10.11947/j.AGCS.2025.20240406
收稿日期:2024-10-11
修回日期:2025-06-20
出版日期:2025-08-18
发布日期:2025-08-18
通讯作者:
柳林涛
E-mail:huhuiwen@apm.ac.cn;llt@asch.whigg.ac.cn
作者简介:胡辉雯(1997—),男,博士,研究方向为时延估计、阵列信号处理、麦克风阵列定向。E-mail:huhuiwen@apm.ac.cn
基金资助:
Huiwen HU1,2(
), Cong SHEN1,2, Lintao LIU1(
), Guocheng WANG1
Received:2024-10-11
Revised:2025-06-20
Online:2025-08-18
Published:2025-08-18
Contact:
Lintao LIU
E-mail:huhuiwen@apm.ac.cn;llt@asch.whigg.ac.cn
About author:HU Huiwen (1997—), male, PhD, majors in time delay estimation, array signal processing, and microphone array orientation. E-mail: huhuiwen@apm.ac.cn
Supported by:摘要:
针对广义互相关-PHAT(generalized cross correlation-PHAT,GCC-PHAT)中不能合理反映两信号的相关性、存在边缘效应问题,导致在目标被动定向中时延估计扭曲、精度低、有时无法定向目标等现象,本文提出了一种基于皮尔逊相关系数的时延估计方法。该方法利用皮尔逊相关系数合理地、精确地测量两个信号的相关性,并利用平移观测信号与参考信号求滑动皮尔逊相关系数,通过绝对值的峰值所在位置来估计时延。仿真试验表明,与GCC-PHAT相比,本文方法在时延估计的有效值比例上提高了14.67个百分点,在时延估计的精度上提高了92.67个百分点,在目标定向的精度上提高了88.24个百分点。将本文方法应用于麦克风阵列定向无人机试验,试验结果进一步验证了本文方法在时延估计和目标定向上的高稳健性和高精确性,并且在目标方向的稳定点比例上较GCC-PHAT提高了28.66个百分点。
中图分类号:
胡辉雯, 沈聪, 柳林涛, 王国成. 皮尔逊相关系数时延估计在声学定向上的应用[J]. 测绘学报, 2025, 54(7): 1206-1214.
Huiwen HU, Cong SHEN, Lintao LIU, Guocheng WANG. Pearson correlation coefficient time delay estimation applied in acoustic orientation[J]. Acta Geodaetica et Cartographica Sinica, 2025, 54(7): 1206-1214.
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