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机构地区:[1]中国人民解放军海军潜艇学院,青岛266071
出 处:《系统仿真学报》2009年第5期1412-1415,共4页Journal of System Simulation
摘 要:根据非线性动力学相空间重构理论,分析了基于时延法的重构相空间维数和延迟时间的选择确定方法,比较了Lorenz吸引子、某舰船目标和高斯白噪声三类信号的相似序列重复度(RPT)特征,表明舰船目标噪声的非线性RPT特征具有明显不同于随机噪声和确定性信号的几何特性;通过对非线性RPT特征相轨迹参考点的改进,将其应用于海洋目标噪声的分析与处理之中,建立了提取水声目标信号非线性RPT特征的模型;通过对试验数据非线性RPT特征的提取,表明非线性RPT特征能够有效地区分水下目标和水上目标,水下高速目标和水下低速目标,水上大型目标、中型目标和小型目标。因此,该海洋目标噪声非线性RPT特征提取模型可以有效地区分不同类型的海洋目标,为水声目标识别提供了一种新的思路和方法。On the bases of nonlinear dynamics theory of phase space reconstruction, the methods for selecting dimension and delay time of reconstructed phase space were analyzed. The similar sequence repeatability (RPT) characters among Lorenz, one ship noise and Gauss noise were contrasted, which indicated that the RPT curve of ship noise had different geometry feature from that of random noise and determinate signal. By improving the definition of nonlinear RPT character, then applying it to ocean target noise analyses, a model for ocean target noise nonlinear RPT character extraction was built. Application on experimental data implied that the nonlinear RPT character could distinguish underwater targets and waterborne targets, underwater low-speed targets and underwater high-speed targets, waterborne large, mid and small targets effectively. So this model for ocean noise nonlinear RPT character extraction can detect different type ocean targets, thus offer a new idea and method for underwater acoustics target detection.
分 类 号:TP274[自动化与计算机技术—检测技术与自动化装置] TP391.9[自动化与计算机技术—控制科学与工程]
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