Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (14): 225-227.
• 工程与应用 • Previous Articles Next Articles
CAO Zhan-hui1,LI Yong-hua2,LI Yan-jun1
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曹占辉1,李永华2,李言俊1
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Abstract: RCS of space object is nonstationary time-series and is difficult to analyze using the traditional method.The Kolmogorov entropy of chaos is put into the analysis of space object RCS for the first time.The result using real data shows that the space object RCS is chaotic.The Kolmogorov entropy can be used for space object recognition.
Key words: space object, RCS, Kolmogorov entropy
摘要: 空间目标雷达散射截面(RCS)序列为非平稳序列,经典的数学方法很难对其进行分析。针对空间目标RCS序列的产生机理,首次引入了混沌理论的Kolmogorov熵理论对空间目标RCS序列进行分析。实测数据处理结果表明,空间目标RCS序列具有混沌特性,其Kolmogorov熵可作为空间目标识别的有效特征。
关键词: 空间目标, RCS, Kolmogorov熵
CAO Zhan-hui1,LI Yong-hua2,LI Yan-jun1. Kolmogorov entropy of space object RCS[J]. Computer Engineering and Applications, 2008, 44(14): 225-227.
曹占辉1,李永华2,李言俊1. 空间目标RCS序列的Kolmogorov熵分析[J]. 计算机工程与应用, 2008, 44(14): 225-227.
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