Compressed Sensing Applied to Non-Ideal Microwave Measurements in Metal Enclosures
Paper i proceeding, 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

Författare

Johan Winges

Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik, Signalbehandling

Livia Cerullo

Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik, Signalbehandling

Thomas Rylander

Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik, Signalbehandling

Tomas McKelvey

Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik, Signalbehandling

Mats Viberg

Chalmers, Elektroteknik, Signalbehandling och medicinsk teknik, Signalbehandling

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

2164-3342 (ISSN)

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

Ämneskategorier

Datorseende och robotik (autonoma system)

ISBN

9788890701887

Mer information

Senast uppdaterat

2019-10-03