舰船地震波信号的小波能量谱检测算法

Wavelet Energy Spectrum Detection Algorithm for Ship Seismic Wave Signals

本文基于滑动小波能量谱提出一种新的舰船地震波信号实时检测算法,首先利用小波变换对实测信号进行尺度-小波能量谱分析,获得信号在尺度-小波能量谱上的特点,然后基于该特点选取一段频带内的能量和作为检测特征量,最后通过比较特征量与阈值的大小,并根据一定的检测规则,完成对舰船地震波信号的实时检测。实测数据和仿真数据表明,该检测算法能够实时地完成对目标信号的检测,且在信噪比为-15 dB时,检测概率达到96%。

This paper proposes a new ship seismic wave signal real-time detection algorithm based on sliding wavelet energy spectrum.Firstly,wavelet-transformation is used to perform scale-wavelet energy spectrum analysis on the paired signals,and the characteristics of the signal on the scale-wavelet energy spectrum are obtained.Then,the energy in a frequency band is selected as the detection feature quantity.Finally,by comparing the feature quantity with the threshold value,and according to certain detection rules,the real-time detection of the ship seismic wave signal is completed.The measured data and simulation data show that the detection algorithm can complete the detection of the target signal in real time,and the detection probability reaches 96%when the signal-to-noise ratio is-15 dB.