Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/644691
Title: Automatic Interference Term Retrieval From Spectral Domain Low-Coherence Interferometry Using the EEMD-EMD-Based Method
Authors: Hongxia Zhang;Feng Wang;Dagong Jia;Tiegen Liu;Yimo Zhang
subject: interference term retrieval|empirical mode decomposition|low-coherence interferometry|ensemble empirical mode decomposition
Year: 2016
Publisher: IEEE
Abstract: Low-coherence interferometry (LCI) has proved to be a useful tool in optical measurement and detection. However, the noise that is present in practical applications makes interference term retrieval (ITR) difficult. In this paper, we propose a novel technique based on ensemble empirical mode decomposition and empirical mode decomposition (EEMD-EMD) to achieve automatic ITR from the spectral domain LCI. In EEMD, the correlation coefficient of each intrinsic mode function (IMF) is calculated, and a characteristic parameter (CP) is introduced to recognize and remove the IMFs of noisy components. The remaining IMFs are used to reconstruct a new signal followed by EMD to extract the interference term. An experiment based on distributed polarization coupling detection in polarization-maintaining fibers (PMFs) was conducted; the PMFs having different lengths and coupling intensities were investigated. It was shown that by setting an appropriate CP, the interference term could be automatically extracted. The relative errors of the extracted coupling intensity were less than 2%. This suggests that our method may have potential applications in interferometric measurement.
Description: 
URI: http://localhost/handle/Hannan/177248
http://localhost/handle/Hannan/644691
ISSN: 1943-0655
volume: 8
issue: 3
Appears in Collections:2016

Files in This Item:
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Title: Automatic Interference Term Retrieval From Spectral Domain Low-Coherence Interferometry Using the EEMD-EMD-Based Method
Authors: Hongxia Zhang;Feng Wang;Dagong Jia;Tiegen Liu;Yimo Zhang
subject: interference term retrieval|empirical mode decomposition|low-coherence interferometry|ensemble empirical mode decomposition
Year: 2016
Publisher: IEEE
Abstract: Low-coherence interferometry (LCI) has proved to be a useful tool in optical measurement and detection. However, the noise that is present in practical applications makes interference term retrieval (ITR) difficult. In this paper, we propose a novel technique based on ensemble empirical mode decomposition and empirical mode decomposition (EEMD-EMD) to achieve automatic ITR from the spectral domain LCI. In EEMD, the correlation coefficient of each intrinsic mode function (IMF) is calculated, and a characteristic parameter (CP) is introduced to recognize and remove the IMFs of noisy components. The remaining IMFs are used to reconstruct a new signal followed by EMD to extract the interference term. An experiment based on distributed polarization coupling detection in polarization-maintaining fibers (PMFs) was conducted; the PMFs having different lengths and coupling intensities were investigated. It was shown that by setting an appropriate CP, the interference term could be automatically extracted. The relative errors of the extracted coupling intensity were less than 2%. This suggests that our method may have potential applications in interferometric measurement.
Description: 
URI: http://localhost/handle/Hannan/177248
http://localhost/handle/Hannan/644691
ISSN: 1943-0655
volume: 8
issue: 3
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7456182.pdf1.99 MBAdobe PDFThumbnail
Preview File
Title: Automatic Interference Term Retrieval From Spectral Domain Low-Coherence Interferometry Using the EEMD-EMD-Based Method
Authors: Hongxia Zhang;Feng Wang;Dagong Jia;Tiegen Liu;Yimo Zhang
subject: interference term retrieval|empirical mode decomposition|low-coherence interferometry|ensemble empirical mode decomposition
Year: 2016
Publisher: IEEE
Abstract: Low-coherence interferometry (LCI) has proved to be a useful tool in optical measurement and detection. However, the noise that is present in practical applications makes interference term retrieval (ITR) difficult. In this paper, we propose a novel technique based on ensemble empirical mode decomposition and empirical mode decomposition (EEMD-EMD) to achieve automatic ITR from the spectral domain LCI. In EEMD, the correlation coefficient of each intrinsic mode function (IMF) is calculated, and a characteristic parameter (CP) is introduced to recognize and remove the IMFs of noisy components. The remaining IMFs are used to reconstruct a new signal followed by EMD to extract the interference term. An experiment based on distributed polarization coupling detection in polarization-maintaining fibers (PMFs) was conducted; the PMFs having different lengths and coupling intensities were investigated. It was shown that by setting an appropriate CP, the interference term could be automatically extracted. The relative errors of the extracted coupling intensity were less than 2%. This suggests that our method may have potential applications in interferometric measurement.
Description: 
URI: http://localhost/handle/Hannan/177248
http://localhost/handle/Hannan/644691
ISSN: 1943-0655
volume: 8
issue: 3
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7456182.pdf1.99 MBAdobe PDFThumbnail
Preview File