Sensitivity Optimization for Electromagnetic Measurement Systems by Sensor Selection
Paper in proceeding, 2013
We attempt to maximize the sensitivity of a sensor system, where the system sensitivity is expressed by a goal function formulated in terms of the Fisher information matrix. Given a large set of sensor candidates, we formulate the problem as a sensor selection problem by means of introducing a weight for each sensor candidate. Such a weight corresponds to the fraction of measurements that is performed by a specific sensor and it is allowed to vary continuously, which yields a convex optimization problem.
convex optimization
Cramér- Rao inequality
optimal measurements
Fisher information
antenna system
Author
Oskar Talcoth
Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering
Gustav Risting
Chalmers, Signals and Systems
Thomas Rylander
Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering
Proceedings of the 7th European Conference on Antennas and Propagation, EUCAP 2013. Göteborg, 8-12 April 2013
Infrastructure
C3SE (Chalmers Centre for Computational Science and Engineering)
Subject Categories
Electrical Engineering, Electronic Engineering, Information Engineering