| 基于级联原子库的时频原子分解 |
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| 引用本文： | 唐承志,张葛祥,荣海娜.基于级联原子库的时频原子分解[J].重庆邮电大学学报(自然科学版),2011,23(5):530-535. |
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| 作者姓名： | 唐承志 张葛祥 荣海娜 |
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| 作者单位： | 西南交通大学 电气工程学院，四川 成都 610031 |
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| 基金项目： | 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) |
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| 摘 要： | 为了分解多分量雷达辐射源信号,提出一种基于级联原子库的时频原子分解方法.该方法先构建级联原子库,采用该原子库对信号进行时频原子分解,以得到信号的最优稀疏表示.仿真实验结果表明,对多分量雷达辐射源信号进行时频原子分解,该方法在重构精度、衰减率和重构信号时频聚集性3个方面均优于单一时频原子库下的时频原子分解方法.
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| 关 键 词： | 时频原子分解 级联原子库 多分量 雷达辐射源信号 |
| 收稿时间： | 2010/12/7 0:00:00 |
Time-frequent atom decomposition based on cascade dictionary |
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| TANG Cheng-zhi,ZHANG Ge-xiang,RONG Hai-na.Time-frequent atom decomposition based on cascade dictionary[J].Journal of Chongqing University of Posts and Telecommunications,2011,23(5):530-535. |
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| Authors: | TANG Cheng-zhi ZHANG Ge-xiang RONG Hai-na |
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| Institution: | School of Electrical Engineering, Southwest Jiaotong University, Chengdu 610031, P. R. China |
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| Abstract: | In order to decompose multi-component radar emitter signal, the paper presents a time frequent atom decomposition algorithm based on cascade dictionary. The introduced method first builds cascade dictionary, and then decomposes signal by using the cascade dictionary, to obtain the optimal sparse representation of signal. Experimental results conducted on multi-component radar emitter signals show that the introduced method is superior to single dictionary based approach, in term of the reconstruction accuracy, decaying rate and time-frequency energy distribution. |
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| Keywords: | time frequent atom decomposition cascade dictionary multi-component radar emitter signal |
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