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Wavelet transform on signal processing of the pulse laser radar

机译:小波变换对脉冲激光雷达信号处理的影响

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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.!4
机译:摘要:小波分析是时域分析和傅立叶频域分析之间的时频域分析,即小波函数被视为小波变换的积分核,其特征是时间的局部性好频域。小波函数通过母小波平移和屈曲来转换。采样间隔是自调整的,因为信号频率分量不同。因此,信号细节可以任意关注。提出了一种利用小波变换检测脉冲激光雷达矩形波信号的方法,该信号被噪声淹没。对于矩形信号,可以通过选择几个最佳小波变量来获得小波变换系数的最大值,并形成一个滤波器,从而提高信号噪声比以检测信号!4

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