NICOP - Data Fusion for Radar/Sonar Systems
Abstract
The proposed research focuses on the methods and theory for data fusion in radar/sonar systems. In particular, it addresses the case that data from multiple measurement instances are jointly processed at a central node. Here, the multiple measurement instances may come from multiple antenna arrays, multiple sampling circuits, or the same hardware platform working at different time instances, frequency bands, polarization, etc. In today s environment, multiple inputs from the same target is an increasingly common scenario that can cause false positive or false negative results. The PI is a world expert on the assignment of resources to optimize and quantify improvements in performance through the assignment of available but different resources to different measurement time slots. Two aims of the research are to further this development and Our aim is to (i) capitalize on the gains of measurement innovation and resource allocation for radar/sonar systems and (ii) design efficient algorithms to support real-time radar/sonar applications. This research, if successful, would substantially enhance the detection range and probability of detection, the imaging quality (SNR), and resolution of radar/sonar systems. It can be applied to the current systems used in service or expected to enter future service. Consequently it could provide operational benefit without requiring major changes in equipment or infrastructure. I recommend funding the project as it is an important topic for the USN and the other military services. Code 31: Dr. Michael Pollack will be informed of the research activity. NRL: Dr. J. McLean will be informed of the research activity
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jun 03, 2016
- Source ID
- N629091612052
Entities
People
- Wei Dai
Organizations
- Imperial College London
- Office of Naval Research
- United States Navy