@article{ZHOU2022, 
author = {Jiajian ZHOU and Xuan HAO and Dabin CHEN and Zengliang FU and Bin LIANG and Xu ZHANG},
title = {Research of moving noise source recognition based on microphone array},
year = {2022},
journal = {Acta Aerodynamica Sinica},
volume = {40},
number = {5},
pages = {61-70},
keywords = {phased array, time domain beamforming, moving noise source, de-dopplerization, propeller noise},
url = {https://www.sciopen.com/article/10.7638/kqdlxxb-2020.0127},
doi = {10.7638/kqdlxxb-2020.0127},
abstract = {Microphone phased array technique is an important measure for aeroacoustics research. In accordance with the difficulties of moving noise sources recognition, the core technology such as time domain beamforming algorithm and de-dopplerization methods were studied and the measurement technique of microphone phased array used for moving object was developed. The data processing algorithm is validated with the simulated noise source, as well as the influence of trajectory error and data length. In considering the loss of coherence due to atmospheric turbulence during propagation from noise sources on the aircraft to microphones on the ground, a kind of array optimization method was proposed to design the array suitable for UAV noise test. A flight test of UAV noise was carried out and the noise source of propeller and engine at take-off and low-altitude cruise were identified successfully.}
}