摘要
轴频电场信号的提取可实现对潜艇目标的探测和识别。通过对潜艇轴频电场以及海洋环境电场噪声成分的分析,提出了将基于互高阶谱MUSIC算法引入潜艇轴频电场信号的提取中的方法。将通过传感器获取的电场信号进行带通滤波,再求得两次测量数据的互高阶累积量,最后采用MUSIC谱估计法求得信号子空间,提取出所需的轴频信号。实验表明:该方法可有效地将微弱的轴频电场特征信号从背景噪声中提取出来,并与传统的MUSIC方法进行了比较,证明了该方法的优越性。
Shaft-rate electric field is a basic field generated by moving vessels which is detectable and identifiable.The components of shaft-rate electric field of submarine and ocean electronic field was analysed,and extraction of submarine shaft-rate electric field based on MUSIC was proposed in this paper.Firstly,the obtained electronic field signal was band-pass filtered.Then,calculated the cross high-order cumulante of the data from two measurements.Finally,the MUSIC was used to calculate the signal subspace and the shaft-rate frequency was obtained.Experimental results showed that the characteristic signal of the shaft-rate electric field could be extracted from environment filed effectively,and it had a superiority to the traditional MUSIC.
出处
《探测与控制学报》
CSCD
北大核心
2012年第1期55-59,共5页
Journal of Detection & Control
基金
总装预研基金项目资助(9140A03051010JB1102)
中国博士后特别项目资助(200902670)
关键词
轴频电场
多信号分类算法
互高阶累积量
潜艇
shaft-rate electric field
multiple signal classification
cross-high-order-accumulation
submarine
