摘要
针对电台细微特征产生机理,对分形技术在电台细微特征识别中的应用展开深入研究。本文实现了基于分形理论的步数维、盒维、信息维、Lyapunov维四种分形维算法,采用模拟单音调制数据分析了分形算法的适应性。最后对实际工作状态下3种型号的5部电台进行个体识别,实验结果证明了分形在电台细微特征识别工程应用中的可行性和有效性。
According to the generating mechanism of station fine character, the fractal theory is applied to the station recognition. Four algorithms based on the fractal theory are implemented, including Step dimension algorithm, Box dimension algorithm, Info dimension algorithm, and Lyapunov algorithm. Then, the analog odd modulation signal is introduced to analyze the adaptability of these algorithms. And the theoretical feasibility is approved. Finally, five stations of three different types in real work are used to verify the validity and the feasibility of these algorithms on station fine character recognition.
出处
《数据采集与处理》
CSCD
北大核心
2009年第5期686-693,共8页
Journal of Data Acquisition and Processing
关键词
分形
细微特征
识别
分形维
fractal
fine character
identification
fractal dimension
