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Study on the Signal Detection Algorithm of Weak Laser Radar Target Based on Wavelet Transform

机译:基于小波变换的弱激光雷达目标信号检测算法研究

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According to the different transmission characteristics under the wavelet transform(WT) domain and the different distribution characteristics of frequency domain of the signal and noise, a novel approach for detecting weak signal laser radar target based on wavelet transform has been proposed. In many cases, wavelet decomposition has been used to de-noise a digital signal submerged by mass noise. Differently in our approach, we applied the wavelet decomposition and the modulus maximum to detect the locations of laser radar echo signal. Simulation shows that the proposed algorithm is more efficient than only utilizing wavelet decomposition in a clutter environment.
机译:根据小波变换(WT)域下方的不同传输特性和信号和噪声频域的不同分布特性,提出了一种基于小波变换检测弱信号激光雷达目标的新方法。在许多情况下,小波分解已被用于通过质量噪声浸没的数字信号进行解除噪声。在我们的方法中,我们应用了小波分解和模数最大值来检测激光雷达回波信号的位置。模拟表明,所提出的算法比利用杂波环境中的小波分解更有效。

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