哈尔滨工程大学学报Issue(8)：952-956,5.DOI:10.3969/j.issn.1006-7043.201211056
基于AR模型参数的船舶轴频电场实时检测方法
Vessel′s shaft-related electric field signal detection based on the AR model parameter
摘要
Abstract
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.关键词
船舶/轴频电场/信号检测/AR模型/样本偏相关函数/反射系数Key words
vessel/shaft-related electric field/signal detection/auto-regressive model/sample partial autocorrela-tion function/reflecting coefficient分类
信息技术与安全科学引用本文复制引用
姜润翔,龚沈光..基于AR模型参数的船舶轴频电场实时检测方法[J].哈尔滨工程大学学报,2013,(8):952-956,5.基金项目
国家重大安全基础研究基金资助项目（613166）． （）
