基于最大熵谱估计的舰船静电场实时检测方法  

Method on real-time detection of ship static electric signature based on MESE

作　　者：陈剑云 李俊[2] 袁勇[3] 李松[4] 

机构地区：[1]南海舰队司令部装备处 [2]海军工程大学 [3]中国人民解放军61828部队 [4]海军装备研究院

出　　处：《舰船科学技术》2009年第4期90-92,102,共4页Ship Science and Technology

基　　金：国防重点实验室基金项目资助(5144407105JB11)

摘　　要：舰船静电场是海水中舰船产生的物理场之一,是很难被隐身的目标特征信号。以往对静电场的检测方法都是基于信号的时域特征,低信噪比情况下,检测效果差。通过对舰船静电场的频域特征分析发现,其能量主要集中在低频段,利用这个特点,提出了一种基于最大熵谱估计(MESE)的舰船静电场实时检测的方法。首先对舰船静电场信号进行最大熵谱估计,然后提取低频段功率谱值作为特征量,通过设定的浮动阈值进行分段功率谱滑动检测,用实船数据对该方法进行了验证,取得了较好的效果。Static field is one of the physical fields generated by ships in the sea water. The detection result is poor using the traditional method in low SNR（signal noise rate）. To detect the target using it,the character of ship＇s static signature is studied. It has been showed that the main power of static electric field of a ship centralizes in the low frequency region. With the character, the paper proposes a method that detecting the object based on maximum entropy spectral estimation （MESE）. Firstly, the static electric signature is estimated by MESE in the low frequency region. And then according to the floating threshold, the object is detected by the moving power spectrum algorithm. The real ship is detected and practical results show that the method is effective.

关 键 词：舰船 静电场 最大熵谱估计 浮动阈值 滑动功率谱 

分 类 号：TB559[理学—物理]