摘要
在雷达辐射源信号时频原子分解中,原子库的特性直接影响着时频原子库的挑选,如何选取最佳的时频原子库对不同类型的雷达辐射源信号进行分解具有很重要的意义。针对这一问题,利用5种结构性能不同的原子库,结合量子进化算法对5种不同类别的雷达辐射源信号进行时频原子分解。实验结果表明,时频原子选择与雷达辐射源信号的特点密切相关。
When a time-frequency approach is applied to analyze the radar emitter signal, the choice of time-frequency atom dictionaries is a key issue and different dictionaries have distinct performances on different signals. In order to make a good choice from various dictionaries, this paper compares five dictionaries with different structural characteristics on five kinds of radar emitter signals with different modulations by the use of quantum-inspired evolutionary algorithms. Experimental results show that the selection of time-frequency atoms is closely related to the characteristics of radar emitter signals.
出处
《重庆邮电大学学报（自然科学版）》
北大核心
2011年第4期437-442,446,共7页
Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
基金
国家自然科学基金(60702026)
四川省青年科技基金(09ZQ026-040)
西华大学信号与信息处理省级重点实验室开放研究基金(SZJJ2009-003)~~
关键词
时频原子库
雷达辐射源信号
时频原子分解
量子进化算法
time-frequency atoms
radar emitter signal
time-frequency atomic decomposition
quantum evolutionary algorithm
