Estimating Scatterer Positions using Sparse Approximation
Other conference contribution, 2016

We present a convex optimization method for a class of inverse scattering problems. The method is based on three steps: (i) compute a database of scattering data for the measurement situations of interest; (ii) find a sparse approximation of a measured response in terms of the database; and (iii) estimate a representative description from the sparse approximation as a weighted average. We use the method to estimate the position of multiple scatters inside a microwave measurement system.

microwave measurements

inverse scattering

convex optimization

sparse approximation

Author

JOHAN WINGES

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Thomas Rylander

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

Swedish Microwave Days, March 15-16, Linköping

Vol. 2016 120-

Subject Categories

Computational Mathematics

Signal Processing

Roots

Basic sciences

Infrastructure

C3SE (Chalmers Centre for Computational Science and Engineering)

More information

Created

10/8/2017