Compressed Sensing Applied to Non-Ideal Microwave Measurements in Metal Enclosures
Paper in proceedings, 2019

Compressed sensing can make use of a priori information in the sense that its dictionary may be constructed for an expected object of particular size and shape, should the application deal with the detection and positioning of exactly such expected objects. Here, we test such a compressed-sensing approach on measurements that include objects that are foreign to the dictionary. It is found that the compressed-sensing approach shows reasonable performance that degrades gracefully as the measurement region is contaminated by dielectric objects that are foreign to the dictionary, where the degradation also becomes more severe as more dielectric material is present in the measurement region due to mutual interactions not accounted for by the dictionary.

detection problem

inverse problem

microwave measurement

sparse approximation

compressed sensing

Author

Johan Winges

Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik, Signal Processing

Livia Cerullo

Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik, Signal Processing

Thomas Rylander

Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik, Signal Processing

Tomas McKelvey

Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik, Signal Processing

Mats Viberg

Chalmers, Electrical Engineering, Signalbehandling och medicinsk teknik, Signal Processing

2019 13TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP)

2164-3342 (ISSN)

13th European Conference on Antennas and Propagation (EuCAP)
Krakow, Poland,

Subject Categories

Computer Vision and Robotics (Autonomous Systems)

ISBN

9788890701887

More information

Latest update

10/3/2019