A high resolution spectrum reconstruction algorithm using compressive sensing theory

被引：1
|
作者：
Zheng, Zhaoyu [1 ]
Liang, Dakai [1 ]
Liu, Shulin [2 ]
Feng, Shuqing [1 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, State Key Lab Mech & Control Mech Struct, Nanjing 210016, Jiangsu, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Coll Civil Aviat, Nanjing 211106, Jiangsu, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON OPTICAL AND PHOTONIC ENGINEERING (ICOPEN 2015) | 2015年 / 9524卷
关键词：
FBG; spectrum reconstruction; compressive sensing; signal recovery; SHM; K-SVD; OVERCOMPLETE DICTIONARIES;
D O I：
10.1117/12.2189451
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper proposes a quick spectrum scanning and reconstruction method using compressive sensing in composite structure. The strain field of corrugated structure is simulated by finite element analysis. Then the reflect spectrum is calculated using an improved transfer matrix algorithm. The K-means singular value decomposition sparse dictionary is trained. In the test the spectrum with limited sample points can be obtained and the high resolution spectrum is reconstructed by solving sparse representation equation. Compared with the other conventional basis, the effect of this method is better. The match rate of the recovered spectrum and the original spectrum is over 95%.
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收藏
页数：7
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