Articles | Volume 25, issue 2
Research article
14 May 2018
Research article |  | 14 May 2018

Time difference of arrival estimation of microseismic signals based on alpha-stable distribution

Rui-Sheng Jia, Yue Gong, Yan-Jun Peng, Hong-Mei Sun, Xing-Li Zhang, and Xin-Ming Lu

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Cited articles

Carrier, A. and Got, J. L.: A maximum a posteriori probability time-delay estimation for seismic signals, Geophys. J. Int., 198, 1543–1553, 2014. 
Choudhuri, S., Bharadwaj, S., Roy, N., Ghosh, A., and Ali, S. S.: Tapering the sky response for angular power spectrum estimation from low-frequency radio-interferometric data, Mon. Not. R. Astron. Soc., 459, 151–156, 2016. 
Cornelis, B., Doclo, S., Tim, V. D. B., Moonen, M., and Wouters, J.: Theoretical analysis of binaural multi-microphone noise reduction techniques, IEEE T. Audio Speech, 18, 342–355, 2010. 
Gedalyahu, K. and Eldar, Y. C.: Time-delay estimation from low-rate samples: a union of subspaces approach, IEEE T. Signal Proces., 58, 3017–3031, 2010. 
Harada, K.: Nonparametric spectral estimation of phase noise in modulated signals based on complementary autocorrelation, IEEE T. Signal Proces., 62, 4479–4489, 2014. 
Short summary
The technique of microseismic source location is realized by calculating the time difference of arrival estimation of each mocroseismic signal. The time difference of arrival estimation directly affects the accuracy of microseismic source location. Microseismic signal with noises is proved to be closer to the α-stable distribution in this paper, and an improved time difference of arrival estimation approach microseismic signals is proposed.