基于混沌理论的跳频电台细微特征提取  

Fine-Features of Frequency-Hopping Radio Extraction Based on Chaos Theory

作　　者：宋春云[1,2] 徐建敏[1,2] 

机构地区：[1]通信系统信息控制技术国家级重点实验室,浙江嘉兴314033 [2]中国电子科技集团公司第三十六研究所,浙江嘉兴314033

出　　处：《通信对抗》2009年第4期10-13,17,共5页Communication Countermeasures

摘　　要：跳频电台暂态信号通常都表现出非线性，针对这种非线性特性，提出了基于最大Lyapunov指数和相关维数的跳频电台暂态特征提取方法，并通过分析实测试验数据，对最大Lyapunov指数和相关维数作为跳频电台细微特征的可行性做了研究。Frequency-hopping radio transient signals turn out to be nonlinear time series. A method based on the chaos theory has been proposed in this paper, where the maximal Lyapunov exponents and correlation dimensions are used as the fine-feature of frequency-hopping radio transient signals. The simulation results are presented to demonstrate the feasibility of this method.

关 键 词：细微特征 最大LYAPUNOV指数 相关维 跳频电台 

分 类 号：TN924[电子电信—通信与信息系统] O415.5[电子电信—信息与通信工程]