Robust polarimetry via convex optimization
Abstract
We present mathematical methods, based on convex optimization, for correcting non-physical coherency matrices measured in polarimetry. We also develop the method for recovering the coherency matrices corresponding to the smallest and largest values of the degree of polarization given the experimental data and a specified tolerance. We use experimental non-physical results obtained with the standard polarimetry scheme and a commercial polarimeter to illustrate these methods. Our techniques are applied in post-processing, which complements other experimental methods for robust polarimetry.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Sep 29, 2020
- Source ID
- 10.1364/ao.400431
Entities
People
- Denys I Bondar
- Jacob M. Leamer
- Ravi Kiran Saripalli
- Ryan T. Glasser
- Wenlei Zhang
Organizations
- Defense Advanced Research Projects Agency
- Louisiana Board of Regents
- Office of Naval Research