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调制无线电信号的分形特征研究
引用本文:唐智灵,杨小牛,李建东. 调制无线电信号的分形特征研究[J]. 物理学报, 2011, 60(5): 56401-056401
作者姓名:唐智灵  杨小牛  李建东
作者单位:(1)通信信息控制和安全技术国家重点实验室,嘉兴 314033; (2)西安电子科技大学通信工程学院,西安 710071; (3)西安电子科技大学通信工程学院,西安 710071;桂林电子科技大学电子工程学院,桂林 541004
基金项目:国家杰出青年科学基金(批准号:60725105),国家重点基础研究发展计划(973计划) (批准号:2009CB320404),国家高技术研究发展计划(863计划) (批准号: 2007AA01Z217),国家自然科学基金(批准号:60572146),通信系统信息控制技术国家级重点实验室资助的课题.
摘    要:调制方式的不同以及信号受到功率放大器的非线性变换决定了调制无线电信号的形状存在着差异,提取这些差异特征是信号识别的基础. 基于分形理论提取信号特征是一种新的方法,本文模拟了在不同信噪比条件下,通过计算调制无线电信号的方差分形维以及Mandelbrot奇异分形维谱,将信号的调制特征以及非线性变换特征投射到分形特征空间. 数值仿真结果表明,不同调制方式、非线性变换对应了分形特征空间中的不同位置. 这些结果表明分形理论能够有效提取无线电信号的调制特征以及功率放大器的特征,对信号的调制方式以及个体特征识别具有一定关键词:无线电信号分形特征识别

关 键 词:无线电  信号  分形特征  识别
收稿时间:2010-06-05

Study on fractal features of modulated radio signal
Tang Zhi-Ling,Yang Xiao-Niu,Li Jian-Dong. Study on fractal features of modulated radio signal[J]. Acta Physica Sinica, 2011, 60(5): 56401-056401
Authors:Tang Zhi-Ling  Yang Xiao-Niu  Li Jian-Dong
Affiliation:School of Communications Engineering, Xidian University, Xi'an 710071, China; School of Electronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China;Science and Technology on Communication Information Security Control Laboratory, Jiaxing 314033, China;School of Communications Engineering, Xidian University, Xi'an 710071, China
Abstract:The shape of radio signals determined by modulation system and that produced by the nonlinear transform are different in kind, which is the basis for discriminating them. Feature extraction based on fractal theory is a new method. In this paper,the features of modulation and nonlinear transform are projected to fractal feature space by computing the variance fractal dimension and the Mandelbrot singularity spectra dimensions. The numerical result show that differences in fractal features do exist between different modulated signals and the nonlinear transformed signals. The results show that the feature of these signals can be extracted based on fractal theory, which has engineering value for the identification of modulated radio signals.
Keywords:radio  signal  fractal feature  discrimination
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