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

More information

Created

10/8/2017