中文摘要：

针对现有船舶轴频电场信号检测算法检测微弱信号能力弱和计算量大等问题，提出了基于小波尺度相关的目标检测算法。该算法利用目标信号和噪声在小波变换各尺度上相关性的差异，求取实测信号的两重小波相关系数，并对其进行二次小波变换，将变换后的两重小波相关系数作为检测信号进行滑动功率谱检测。实测数据对滑动功率谱算法、基于小波包分解的检测算法和本文算法的验证结果表明，本文算法能在更低信噪比情况下有效地将微弱的轴频电场信号从环境背景噪声中检测出来。

英文摘要：

To solve the problems of massive calculation and poor capability in detecting weak signal on the exist- ing shaft-rate electric field signal detection algorithms, a detection algorithm based on wavelet scale correlation was proposed. According to the fact that target signal was identified and retained for it was strongly correlated across scale in the wavelet transform domain, while noise was identified and removed for it was poorly correlated across scale in the wavelet transform domain; then the twofold wavelet correlation was calculated and decom- posed by wavelet transform. Finally, the new twofold wavelet correlation was used to detect the ship shaft-rate electric signal by sliding power spectrum algorithm. The effectiveness of sliding power spectrum algorithm, de- tection algorithm based on wavelet packet decomposition and the algorithm proposed in this paper were verified by measured data, which showed that the proposed algorithm could detect the weak shaft-rate electric signal from ocean environmental electric field more effectively.