摘要
为了有效地从海洋环境电场背景中检测微弱的船舶轴频电场信号,提出了一种基于小波包熵的船舶轴频电场信号检测算法.首先使用小波包变换对测量信号进行多层分解并计算最后一层各结点的重构信号;然后计算各结点重构信号的小波包熵;最后选取小波包熵最小的重构信号作为检测信号进行滑动功率谱检测.通过实测数据和仿真数据对该算法和滑动功率谱算法进行对比分析,结果表明此算法在低信噪比情况下能更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.
In order to effectively detect the weak signals from ocean environmental electric field,a detection algorithm of ship shaft-rate electric signal based on wavelet packet entropy was proposed.Firstly,wavelet packet transform was used to decompose the received signal into several nodes and the reconstructed signals of each node in the last layer were got.Then,the wavelet packet entropy of each reconstructed signal was calculated.Finally,the reconstructed signal with minimum wavelet packet entropy was selected to detect the ship shaft-rate electric signal by sliding power spectrum algorithm.The effectiveness of both the proposed algorithm and the sliding power spectrum algorithm were verified by both measured data and simulated data.Results show that the proposed algorithm can detect the weak shaft-rate electric signal from ocean environmental electric field more effectively at low SNR situations.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2011年第11期15-18,共4页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
水中军用目标特性国防重点实验室基金资助项目(5144407105JB11)
关键词
轴频电场
小波包熵
小波包变换
重构信号
检测
shaft-rate electric field
wavelet packet entropy
wavelet packet transform
reconstructed signal
detection
