TY - GEN
T1 - Processing methods in frequency domain for bubble laser scattering signals
AU - Su, Liping
AU - Zhao, Weijiang
AU - Ren, Deming
AU - Qu, Yanchen
AU - Hu, Xiaoyong
PY - 2009
Y1 - 2009
N2 - For the detection of the bubble-laser-scattering property, it is the key to improve the signal to noise ratio. The various noises in the bubble-laser-scattering signal, the background light, power frequency of 50Hz, radio frequency noise and inherent noise within the electronic system, are analyzed in detailed. Two frequency-domain methods used to process the bubble scattering signal, the Fourier transform and the power spectral estimation, are focused on. These two methods can reduce the noise, isolate the DC component and eliminate the impact of the power frequency of 50Hz, thus the pulse of bubble laser scattering could be detected. The physical meaning for the power spectral estimation is much clearer than that of the Fourier transform. The power spectrum curve obtained by using the Yule-Walker AR (regression model) method is much smoother and its frequency resolution is higher than the other methods. The results show that the Yule- Walker AR spectrum estimation is the most reasonable and most effective method. 2009 SPIE.
AB - For the detection of the bubble-laser-scattering property, it is the key to improve the signal to noise ratio. The various noises in the bubble-laser-scattering signal, the background light, power frequency of 50Hz, radio frequency noise and inherent noise within the electronic system, are analyzed in detailed. Two frequency-domain methods used to process the bubble scattering signal, the Fourier transform and the power spectral estimation, are focused on. These two methods can reduce the noise, isolate the DC component and eliminate the impact of the power frequency of 50Hz, thus the pulse of bubble laser scattering could be detected. The physical meaning for the power spectral estimation is much clearer than that of the Fourier transform. The power spectrum curve obtained by using the Yule-Walker AR (regression model) method is much smoother and its frequency resolution is higher than the other methods. The results show that the Yule- Walker AR spectrum estimation is the most reasonable and most effective method. 2009 SPIE.
KW - Bubble laser scattering
KW - Fourier transform
KW - Ocean optics
KW - Power spectral estimation
KW - Yule-Walker AR method
UR - https://www.scopus.com/pages/publications/70450211412
U2 - 10.1117/12.834911
DO - 10.1117/12.834911
M3 - 会议稿件
AN - SCOPUS:70450211412
SN - 9780819476630
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - International Symposium on Photoelectronic Detection and Imaging 2009
T2 - International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging
Y2 - 17 June 2009 through 19 June 2009
ER -