一种基于小波分解的信号特征提取方法

Feature Extraction of Target Signal Based on Wavelet Decomposition

利用目标信号功率主要集中在低频部分的特点 ,对信号进行小波分解 ,提取在不同频率带内信号的能量作为特征 ,用费歇判别方法对目标进行检测 .通过不同浪级情况下海洋水压力场的仿真信号数据 ,对某型目标舰船的水压力信号进行了检测计算 ,验证了该方法的有效性 ,尤其是在高海况、低信噪比条件下 ,达到了比较好的效果 .

This paper proposes a new method for feature extraction of target signal. The signal is first decomposed by wavelet transform, and on the basis, the decomposed coefficients are reconstructed to form a new time series, from which some energy parameters can be extracted by time-domain analysis. The effectiveness of the method is verified by a real target signal with additive simulated noise signal.