相干测风激光雷达通常采用周期图最大值法，但在远场低信噪比区域是有偏估计，因而会增加风速测量误差。距离门功率谱基线漂移现象作为误差源之一，会偏置谱峰分布基准，并干扰峰值频率检测。为了校正基线漂移，提出了基于正则化惩罚最小二乘法的先验平滑估计频谱基线方法。经过大气测风实验应用，结果表明，该方法能有效校正基线漂移，从而显著提高远场风速的估计精度，并最终提升了测风激光雷达的探测距离。

The periodogram maximum estimator is usually employed in coherent Doppler wind Lidar. However, the estimates are biased in the far-field with low signal-to-noise region, and the wind speed errors will increase. The baseline- drift of the range gate power spectra is one of the error items, which biases the benchmark of spectral peak distribution and interferences the peak- frequency detection. In order to correct the drifting, the smoothness prior approach based on the regularization penalized least squares is introduced to estimate the spectral baseline. In the atmospheric wind speed measurements, the result shows that the proposed approach can remove the drift baseline effectively, improve the wind speed estimation precision in far-fields significantly and increase the detection range of the wind Lidar ultimately.