PCA和ICA的舰船尾流后向散射光信号检测

水体的后向散射光信号是舰船尾流后向散射光信号检测的常见干扰,由于其在频域十分接近且信号强度大于尾流信号,因此严重影响了有用信号的提取。针对这一问题,提出了一种基于主成分分析(PCA)和独立成分分析(ICA)相结合的尾流散射光信号检测方法。首先使用主成分分析对采集的散射光信号进行降维,去除冗余成分,之后使用基于负熵的F astICA算法对数据进行处理,分离了水体和舰船尾流的散射光信号,通过实验验证了该算法的有效性。

Detecting of Wake Flow Backscattering Optical Signal Based on PCA and ICA

The backscattering optical signal of water constantly influences the detecting of backscattering optical signal of warship wake flow,because it is close to the needed signal in frequency and stronger than the needed signal.A method for the detection of wake flow backscattering optical signal based on the combination of PCA and ICA is presented.Firstly the original data are processed by PCA to reduce the dimension of the signals and take the redundancies out for getting the main components of data.And then the FastICA algorithm is used to separate the scattering optical signal of water and wake flow.Finally the efficiency of this method is demonstrated by experiment.