A Decentralised System for Radar Signal Recognition

P2.20


Project Leaders: Graham Priestnall, DEWC Systems

Participants: DEWC Systems Pty Ltd, Deakin University

This project aims to develop a novel distributed radio frequency processing
capability for deployment across space-based platforms. The research will focus
on elaborating a machine learning (ML) model that can effectively detect and
classify conventional and low-probability-of-intercept (LPI) radar signals. The
model will dynamically adapt its structure to the collected signals, producing
calibrated confidence estimates and learning from misclassified in-distribution
samples. To enhance autonomy and resilience to mission contingencies, the
neural network will perform asynchronous, distributed training featuring
interruptible and resumable cycles.