摘要
采用小波变换与支持向量机相结合对舰船水压场信号建立检测模型.该方法通过对海浪信号进行小波分解并对某一特定低频频段信号重构,利用支持向量机对重构信号建立预测模型,预测误差值作为特征值对舰船水压信号进行检测.通过检测验算表明此方法的有效性,特别是在低信噪比情况下,仍能较好地检测到目标信号.
In order to detect ship hydrodynamic pressure signal from wind wave background, according to the characteristic difference between ship hydrodynamic pressure signal and wave noise, a target detection method has been proposed based on the WT and SVM. The signal is decomposed using the wavelet transform in a set of constitutive series. Then the future values of a special constitutive series are forecast using properly fitted SVM model. The prediction errors are employed to detect the target signal. By this method, it is possible to recognize whether target signal is involved or not in received signals. The effectiveness of the method is verified by a real target signal with additive simulated noise signal, especially under the condition of low SNR.
出处
《武汉理工大学学报(交通科学与工程版)》
2008年第2期283-286,共4页
Journal of Wuhan University of Technology(Transportation Science & Engineering)
基金
国防科技重点实验室基金项目资助(批准号:9140C2603060605)
关键词
特征提取
目标检测
支持向量机
小波变换
舰船水压场
feature extraction
target detection
support vector machine (SVM)
wavelet transform (WT)
ship hydrodynamic pressure field