DASA is seeking proposals that develop solutions for autonomous sensor management and sensor counter deception in intelligence, surveillance and reconnaissance (ISR) scenarios.
For Phase 1 of this competition DASA expects to distribute £800,000 across 6 – 12 projects.
The competition is aimed at supporting low TRL innovation, with Phase 1 projects expected to deliver outputs at TRL 3.
Solutions are to be delivered in a form which can integrate within a broader set of signal and information fusion technology demonstrators, particularly the algorithms available in the Stone Soup framework. DASA requires open, flexible, and modular architectures to enable integration. Algorithms should be written in object oriented Python, as components which are compatible and could be merged into the Stone Soup framework.
Challenge 1: Sensor Management – additional sensor management capabilities are required which are compatible with Stone Soup and an existing setup. Possible component developments could include: reward functions, cost functions, sensor management policies, optimisation policies and ‘taskable’ sensor models. Possible contributing research areas may include information theory, game theory and reinforcement learning.
Challenge 2: Sensor Counter Deception – techniques to enable an understanding of the impact deceptive strategies have on a situational awareness picture. Impacts may range from an increase in uncertainty, to attempts to inculcate a false conclusion, or promote a decision conducive to the deceiver. Solutions should employ a defined and recognised set of ISR metrics. Ideas that may help in this challenge area include modelling of intent, efficient optimisation, game theory, Bayesian inference, scalable inference on graphs and high-dimensional sampling methods.
Submissions due 13 September 2023.
A Q&A Webinar will be held 20 July 2023 – Register here
One-to-One teleconference sessions are available 27 July 2023 (Register here) and 2 August 2023 (Register here)
