The goal of this project is to develop a general detection theory to guide the processing of images from synthetic aperture radar (SAR) along track interferometers (ATI) with greater than two beams. Such a detection theory should allow the construction of constant false alarm rate (CFAR) detection rules for small, slow moving targets in high clutter environments. The technical approach taken is to decompose the multi-beam covariance matrix via an Eigen decomposition and investigate the use of the decomposition parameters and Eigenvalues as ground moving target indication (GMTI) metrics.
Project Supervisor
Jon Barker is a member of the Networked Sensors and Fusion Team in the Sensors and Countermeasures Department at the Defence Science and Technology Laboratory. He received his Ph.D. in stable homotopy theory in 2006 from the University of Southampton. His current research interests lie in multi-beam SAR processing for GMTI; Bayesian information fusion; and, statistical anomaly detection.