The Alan Turing Institute’s defence and security programme is inviting proposals to develop a data fusion model for an Integrated Chemical Sensing concept based on the use of person-worn distributed sensor networks and arrays. Using known mathematical models (e.g. Bayesian data fusion) a mathematical data fusion model is to be developed that allows for a theoretical evaluation of sensor performance requirements based on, for example, the number of sensors being fused, probabilities of detection and false positives, and the effect of correlated and un-correlated (e.g. orthogonal) sensors.
Our government partner’s ChemSense project has an interest in the development and exploitation of low Size, Weight and Power (SWaP) sensor technologies for future Chemical Warfare Agent (CWA) sensing capability. Such low SWaP sensors may be deployed individually or as arrays that are integrated into existing equipment, and may be distributed across an individual and/or across a unit of a defined number of military personnel. Data fusion across different sensor arrangements/arrays is likely to be necessary in order to take advantage of the deployment of numerous low SWaP sensors and obtain the required sensing performance (for example, target specificity).
The requirement is to conduct a literature review of data fusion concepts applicable to this challenge and to subsequently develop a theoretical data fusion model for an Integrated Chemical Sense concept.
Who can apply
We invite researchers from any UK-based universities and research institutes to submit an application (please note non-Turing university partners researchers are eligible to apply too).
The lead applicant must be based in a UK university or research institute.
How to apply
Applications must be submitted via the online portal.
If you have not already done so you must first register on the system. If you have any questions regarding the application form or call process, please contact the Programme Manager: Alaric Williams, [email protected]
Funding will be available for one project over the duration of five months. The proposal should be defined such that the project can be completed by March 2023. The research will be funded at Full Economic Cost and VAT will apply.
If you have queries please contact the Programme Manager, Alaric Williams [email protected]