Doppler distortion correction based on microphone array and matching pursuit algorithm for a wayside train bearing monitoring system

作者：Liu, Xingchen; Hu, Zhiyong; He, Qingbo^*; Zhang, Shangbin; Zhu, Jun

来源：Measurement Science and Technology, 2017, 28(10): 105006.

DOI：10.1088/1361-6501/aa67c8

• train bearing
• wayside acoustic diagnosis
• Doppler effect
• microphone array
• matching pursuit

Doppler distortion and background noise can reduce the effectiveness of wayside acoustic train bearing monitoring and fault diagnosis. This paper proposes a method of combining a microphone array and matching pursuit algorithm to overcome these difficulties. First, a dictionary is constructed based on the characteristics and mechanism of a far-field assumption. Then, the angle of arrival of the train bearing is acquired when applying matching pursuit to analyze the acoustic array signals. Finally, after obtaining the resampling time series, the Doppler distortion can be corrected, which is convenient for further diagnostic work. Compared with traditional single-microphone Doppler correction methods, the advantages of the presented array method are its robustness to background noise and its barely requiring premeasuring parameters. Simulation and experimental study show that the proposed method is effective in performing wayside acoustic bearing fault diagnosis.

• 出版日期2017-10
• 单位中国科学技术大学