Sensor response model for Chemical/Biological detectors for airborne hazardous materials
Project Leader: Jonathan Manton
Staff: Prof. Jonathan Manton Prof. Bill Moran Prof. len Sciacca
Collaborators: Defence Science and Technology Group
Sponsors: Defence Science and Technology Group
Primary Contact: Len Sciacca (firstname.lastname@example.org)
Keywords: optimisation; sensor fusion; signal processing; signals and systems
Disciplines: Electrical & Electronic Engineering
Research Centre: Melbourne Systems Laboratory (MSL)
Characterization and understanding of Chemical/biological detector responses are required for their effective deployment in a contaminated environment. Currently, a detector’s performance is typically assessed experimentally in a test chamber under limited (constant challenge concentration) test conditions which may vary significantly compared to a real-world environment. For example, a stationary sensor monitoring the near-field atmospheric release of hazardous materials or a sensor attached to a UAV interrogating chemical cloud will experience much more rapidly changing dynamic conditions for which the laboratory acquired assessment may not be adequate or reliable.
This project aims to develop a foundational framework and mathematical sensor response model (SRM) to enable characterization, validation, and performance prediction of CBR detectors. The sensor response model will be developed using signals and systems theory and mathematical methods combined with aerosol physics. The models will be validated experimentally using a state-of-the-art dynamic sensor testbed recently developed at DST in Melbourne. This project will give candidates a deep appreciation of sensor design, modelling and optimisation. It will give solid foundations for future work and research.