Paper
19 August 1998 Wavelet transform on signal processing of the pulse laser radar
Yongjiang Dai, Quan Xiao, Yuan Zhao, Xiaoou Wang
Author Affiliations +
Abstract
A wavelet analysis is a time-frequency domain analysis between the time-domain analysis and the Fourier frequency- domain analysis, that is, a wavelet function is considered as integral kernel of a wavelet transform, characterized by well-localized property of time-frequency domain. A wavelet function is converted by a mother wavelet shifting and flexing. The sampling interval is self-adjusted, as the signal frequency components are different. So the signal detail can be focused on at will. In this paper, a novel method is presented to detect a rectangle-pulse signal of pulse laser radar, which is submerged from noise, by means of the wavelet transform. As to rectangle-signal, the wavelet transform coefficient can be obtain the maximum value by selecting a couple of optimum wavelet variables and a filter comes into being so that the signal noise ratio is improved to detect the signal.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yongjiang Dai, Quan Xiao, Yuan Zhao, and Xiaoou Wang "Wavelet transform on signal processing of the pulse laser radar", Proc. SPIE 3561, Electronic Imaging and Multimedia Systems II, (19 August 1998); https://doi.org/10.1117/12.319715
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Wavelets

Signal detection

Wavelet transforms

Signal to noise ratio

Electronic filtering

LIDAR

Rectangular pulse

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