半导体激光云高仪后向散射信号较弱，同时受到了各种噪声的干扰，因此，如何采取有效措施去除回波信号中的噪声是半导体激光云高仪信号检测的首要任务和难点。根据独立成分分析(ICA)的冗余取消特性，提出利用快速独立成分分析算法对半导体激光云高仪后向散射信号进行去噪。针对快速独立成分分析去噪时需要多元信号的要求，取连续测量的多组回波信号作为观测变量，然后通过快速独立成分分析算法进行信噪分离，得到有效源观测信号，从而实现噪声的有效消除。实验结果表明，该方法能有效去除半导体激光云高仪回波信号中的噪声，在半导体激光云高仪回波信号处理上具有实用价值。

Because laser diode ceilometer′s backscattering signal is weak and easily disturbed by various noises at the same time, the most important task and difficult point for the signal detection of laser diode ceilometer is how to take effective measures to remove the noise in the backscattering signal. In view of the redundancy reduction capability of the independent component analysis (ICA), fast ICA is proposed to eliminate noise of laser diode ceilometer′s return signals. Since fast ICA requires multi-channel signals, the continuous multiple groups of laser diode ceilometer return signals are used to construct the multi-channel signals, and then the blind source separation (BSS) of fast ICA is applied to the signals. Thus, the virtual sources are extracted one by one, and the noise embedded in the observed signal is removed. The experimental results demonstrate that the method has good effect on removing the noise from laser diode ceilometer′s return signal. Such a fast ICA algorithm has the practical value in processing laser diode ceilometer′s return signals.