Matched filter for microwave-based detection of dielectric objects in powders
Paper i proceeding, 2017

We present a microwave measurement system for detection of dielectric objects in inhomogeneous powder flows in metal pipes. The system includes a non-intrusive microwave sensor that uses multiple cavity modes to measure the permittivity inside the pipe, and a fast-sampling microwave transmitter and receiver instrument. In this paper, we study a matched filter detection algorithm that takes temporal and inter-channel correlation of the noise into account. The target waveforms used in the filter are constructed from measurements on single object passages. Based on repeated gravity-fall measurements with polyethylene powder at flow rates up to 109 kg/h, we find that wood and plastic objects of 5mm size can be detected with high accuracy, and that the matched filter detector yields minor improvements as compared to a power detector that ignores the temporal correlation.

Detection algorithms

Microwave measurements

Matched filters

Cavity resonators

Maximum likelihood estimation

Författare

Johan Nohlert

Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Thomas Rylander

Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

Tomas McKelvey

Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

I2MTC 2017 - 2017 IEEE International Instrumentation and Measurement Technology Conference, Proceedings

7969893

Ämneskategorier

Signalbehandling

DOI

10.1109/I2MTC.2017.7969893

ISBN

978-1-5090-3596-0