中文摘要：

通过分析脉冲激光雷达回波中目标信号与噪声在频域不同的分布特性及在小波域不同的传播特性,提出了小波域脉冲激光雷达回波信号滤波的新算法。在低信噪比下,利用小波分解和模极大值降噪技术相结合的方法,不仅能够很好地滤除激光回波中的高频噪声,并且也可大大降低回波中低频噪声对弱小目标的影响。仿真结果表明了该滤波算法的有效性。

英文摘要：

Considering that the target and noise in lidar echo signal have different transmission characteristics in Wavelet Transform（WT） domain and different distribution characteristics in frequency domain,a novel approach for detecting lidar target based on wavelet transform was proposed.The wavelet decomposition and maximum modulus methods were used to process the pulsed lidar echo signal at low SNR,which can not only remove the high-frequency noise easily but also can effectively reduce the influence caused by low frequency noise.Simulations showed the effectiveness of the proposed algorithm.