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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:针对小波变换(WT)域下不同的传输特性以及信号和噪声的频域分布特性,提出了一种基于小波变换的弱信号激光雷达目标检测新方法。在许多情况下,小波分解已被用来对被质量噪声淹没的数字信号进行消噪。与我们的方法不同,我们应用小波分解和最大模数来检测激光雷达回波信号的位置。仿真表明,与杂波环境中仅利用小波分解相比,该算法具有更高的效率。

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