Efficient Modal Analysis Using Compressive Optical Interferometry
Abstract
Interferometry is routinely used for spectral or modal analysis of optical signals. By posing interferometric modal analysis as a sparse recovery problem, we show that compressive sampling helps exploit the sparsity of typical optical signals in modal space and reduces the number of required measurements. Instead of collecting evenly spaced interferometric samples at the Nyquist rate followed by a Fourier transform as is common practice, we show that random sampling at sub-Nyquist rates followed by a sparse reconstruction algorithm suffices. We demonstrate our approach, which we call compressive interferometry, numerically in the context of modal analysis of spatial beams using a generalized interferometric configuration. Compressive interferometry applies to widely used optical modal sets and is robust with respect to noise, thus holding promise to enhance real-time processing in optical imaging and communications.
Publication Date
11-2-2015
Publication Title
Optics Express
Volume
23
Issue
22
Number of Pages
28449-28458
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1364/OE.23.028449
Copyright Status
Unknown
Socpus ID
84957916804 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84957916804
STARS Citation
Mardani, Davood; Abouraddy, Ayman F.; and Atia, George K., "Efficient Modal Analysis Using Compressive Optical Interferometry" (2015). Scopus Export 2015-2019. 665.
https://stars.library.ucf.edu/scopus2015/665