Processing Methods for Laser Scattering Signals of Bubbles

Liping, 苏丽萍 Su; Weijiang, 赵卫疆 Zhao; Deming, 任德明 Ren; Yanchen, 曲彦臣 Qu; Xiaoyong, 胡孝勇 Hu

doi:10.3788/cjl20093604.0814

Cited by 1 publication

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“…Some methods, including Short-time Fourier transform [12] , filters and discrete Fourier transform [13] , are used to process it. We put forward the power spectrum estimation method processing the bubble scattering signal and applied it to obtain the angular scattering properties of bubbles, which agrees with Mie results very well [11,14] . On the basis of the power spectrum estimation method, we used the simple lidar to detect wake profiles [15] .…”

Section: Introductionsupporting

confidence: 53%

Noise Analysis for Simple Lidar Detecting Wake Profiles Based on Bubble Laser Backscattering at 180°

Zhao

Ren

et al. 2011

AMR

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Simple lidar detecting wake profiles based on laser backscattering by wake bubbles at 180° is firstly introduced. Then the various noises of this simple lidar, including the background light, power frequency of 50Hz and its harmonics, radio frequency noise and inherent noise within the electronic system, are analyzed in detailed, and the relationship of the minimum detectable signal power and the echo signal power is discussed. Finally, under the condition of satisfying the noise level, the data processing method of wake profiles is given. For this method, the power spectral density estimation method is used to process the bubble laser scattering signal and cubic spline interpolation is used to obtain contour map of wake profile. The results show that the data processing method of wake profiles meets the noise level and the obtained contour map is reasonable.

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