基于反对称高斯小波的水下目标回声信号检测

针对目标回声检测中信号背景的混响干扰问题,基于反对称连续高斯小波变换空间上的模极大值传播特性与信号奇异点的关系,提出用小波影响锥锥尖和最佳尺度的自动检索来实现目标回声检测的方法.通过大量海上现场数据验证该方法的有效性,结果表明,由于对目标信号头和尾位置的准确定位,基于W igner分布特征和模糊分类器的分类识别效果理想,显示本方法在实现目标回声的自动检测方面具有应用前景.

Detection of underwater object echo signal based on dissymmetry gauss wavelet

Detection of echo signal's difficulty lies in large of interferences due to reverberation in sea.A new method based on the relationship between signal singularity and spreading characteristic of modular maxima in space of continuous dissymmetry gauss wavelet transform,is introduced to implement objective echo detection by means of the gimlet-point of the effective cone and optimal scale's automatic searching.A large of data on the spot of sea is used in the experiments of detecting validity.The result shows that,due to getting the exact locations of the head and tail of object echo,it makes an ideal classification effect through putting vectors of Wigner distribution feature into FART neural network.It is sure that the method has important application foreground in auto-detection of object echo.