摘要
为了有效地从海洋环境电场信号中检测出船舶轴频电场信号,在分析实测数据的基础上,利用Box-Jenkins方法对海洋环境电场与船舶轴频电场信号的参数模型进行了分析.结果表明,海洋环境电场信号近似可用AR模型(auto-regressive model)进行描述,且在利用AR模型对船舶轴频电场及海洋环境电场信号进行AR建模时,2个模型的参数差别较大.在上述研究的基础上,提取AR模型的参数作为特征,采用滑动检测方法对信号进行实时检测,通过实测数据和仿真数据对该检测算法进行验证,结果表明此方法简单易实现,在低信噪比情况下,能较好地检测到目标信号.
In order to effectively detect the vessel's shaft-related electric field signal from the environmental electric field signals at sea, a Box-Jenkins method was used to analyze the parameter model of the vessel's shaft-related e-lectric field and environmental electric field signals on the basis of analyzing a large number of actually measured data . It showed that the environmental electric field signals obey the AR model, and when establishing the AR mod-el using the two kinds of signals,vessel's shaft-related electric field signal and environmental electric field signal, there was great difference in the two models' parameters. After that the parameters of AR model were extracted as signal characteristics. The real-time slip detection method was then applied. The actually measured data and simula-ting data verified the detection method, the result showed that it was easy to implement, and the target signal could be detected under the condition of low SNR.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2013年第8期952-956,共5页
Journal of Harbin Engineering University
基金
国家重大安全基础研究基金资助项目(613166)
