摘要
为实现海洋环境电场背景中微弱的船舶轴频电场信号的有效检测,提出一种结合经验模态分解(Empirical Mode Decomposition,EMD)和4阶累积量对角切片功率谱的方法。首先,利用EMD方法的自适应滤波特性将信号进行分解,得到本征模态函数(Intrinsic Mode Functions,IMF),按照K-L散度准则进行有效IMF的筛选;然后利用高阶累积量抑制高斯色噪声的性质,计算各有效IMF分量4阶累积量对角切片的功率谱,并进行多子带中的线谱提取。海上实测数据的处理结果表明,该方法能够实现-15d B下的线谱提取,具有一定的实用价值。
In order to implement effective detection of weak buried in the background of ocean electric, a method combining signal of ship shaft-rate electric Empirical Mode Decomposition （EMD） with power spectrum of fourth-order cumulant diagonal slice is proposed. Firstly, EMD method owing to its adaptive filtering feature was employed to decomposition the signal into a set of Intrinsic Mode Functions （IMFs） , from which the effective ones were selected according to K - L divergence criterion. Then, taking advantage of the property of higher order cumulant which can suppress Gaussian colored noise, power spectrum of fourth-order cumulant diagonal slice of effective IMFs was computed, which was then used for multi-subband detection. The processing result of marine practical data illustrates that, the method can fulfill the line spectrum extraction under the - 15 dB SNR, proving it having certain practical value.
出处
《舰船科学技术》
北大核心
2016年第1期94-98,共5页
Ship Science and Technology
基金
国家自然科学基金资助项目(51109215)
关键词
轴频电场
经验模态分解
4阶累积量
K-L散度
线谱提取
shaft-rate electric
empirical mode decomposition
fourth-order cumulant
K - Ldivergence
line spectrum extraction
