Acta Geodaetica et Cartographica Sinica ›› 2025, Vol. 54 ›› Issue (7): 1206-1214.doi: 10.11947/j.AGCS.2025.20240406

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Pearson correlation coefficient time delay estimation applied in acoustic orientation

Huiwen HU1,2(), Cong SHEN1,2, Lintao LIU1(), Guocheng WANG1   

  1. 1.State Key Laboratory of Precision Geodesy, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China
    2.University of Chinese Academy of Sciences, Beijing 101408, China
  • 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:
    The National Natural Science Foundation of China(42074011);Key Projects Deployed by the Major Scientific and Technological Mission Bureau of the Chinese Academy of Sciences(T24Y6303)

Abstract:

To address the problems of unreasonably reflecting the correlation between two signals and edge effects in the generalized cross correlation-PHAT (GCC-PHAT), which lead to inaccurate time delay estimation (TDE), low-precision TDE, in-ability to orientate targets, et al, a method for the TDE based on the Pearson correlation coefficient (PCC) was proposed in this paper. The method uses the PCC to measure the correlation between two signals in a reasonable, accurate, and absolute manner. It shifts the observation signal, calculates the sliding PCC with the reference signal, and finds the position of the peak of absolute values to estimate the time delay. Simulation experiments show that compared to the GCC-PHAT, the proposed method improves the effective value ratio of the TDE by 14.67%, the precision of the TDE by 92.67%, and the precision of target orientation by 88.24%. Applying the method in a microphone array directional drone experiment, results further verify the high robustness and precision of the proposed method in the TDE; and compared to the GCC-PHAT, the proposed method improves the stable points ratio of target direction by 28.66%.

Key words: time delay estimation, generalized cross correlation-PHAT, Pearson correlation coefficient, microphone array, target orientation

CLC Number: