Optimal Target Detection for Marine Radars Using Waveform Diversity

OPTIMAL TARGET DETECTION FOR MARINE RADARS USING WAVEFORM DIVERSITY

DIP Contribution: $150,000

Project Summary: Develop novel and low-complexity optimal waveform diversity techniques for small target detection that can adapt to the environment and sea clutter characteristics to minimise the deleterious effects of sea clutter in scan-to-scan integration.
Sea clutter suppression for high-bandwidth marine radars operating at low position on a moving ship can be challenging. The common approach to sea clutter mitigation is to employ scan-to-scan integration. While scan-to-scan integration can help alleviate the masking of radar return signals from a target of interest by sea clutter, it requires a large number of radar scans in low-grazing-angle and high-sea-state situations, and tends to suppress moving targets as well as sea clutter, which is undesirable. 

Defence Relevance: The proposed research will advance the state-of-the-art in high-performance navigation radar systems for future maritime platforms for both the Royal Australian Navy (RAN) and the Royal Australian Air Force (RAAF). The adaptive and cognitive waveform selection techniques developed in this project will improve the decision superiority of the maritime platforms, which is a priority research area for the RAN. 

Team Lead: University of South Australia's Professor Kutluyil Dogancay

Collaborating Partners: Defence Science and Technology, the University of Adelaide, Redarc Electronics Pty Ltd, Raytheon Anschutz GmbH

Status: Ongoing

Media:
19 February 202 - The Mirage - "Defence industry collaboration helps find a life-raft in ocean - UniSA, REDARC, Raytheon partnership cleans up radar sea clutter"