Matched filter for microwave-based detection of dielectric objects in powders
Paper in proceedings, 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.

Maximum likelihood estimation

Detection algorithms

Matched filters

Microwave measurements

Cavity resonators

Author

Johan Nohlert

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Thomas Rylander

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

Tomas McKelvey

Chalmers, Signals and Systems, Signalbehandling och medicinsk teknik, Signal Processing

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

7969893

Subject Categories

Signal Processing

DOI

10.1109/I2MTC.2017.7969893

ISBN

978-1-5090-3596-0

More information

Latest update

6/8/2018 6