The course is organized in three parts, which mainly cover aspects related to radar clutter modelling and analysis, optimum and adaptive radar detection of targets embedded in correlated Gaussian clutter and in heavy-tailed non-Gaussian clutter.
Having successfully completed this course, students should:
understand the coherent radar array data model and its statistical analysis;
understand the optimal and adaptive coherent detection of radar targets problem;
know the techniques and algorithms that are currently used and choose which ones are the most suitable for a given scenario;
understand the significance of disturbance modelling and analysis in a radar system;
be able to analyze real clutter data;
be able to generate synthetic data for radar system performance simulation
be able to implement algorithms for radar target detection
be able to analyze radar detection algorithm performance by the Monte Carlo method;
be able to understand how the target signal model affects the structure of the detectors and its performance.
For more information on all the courses being offered in the Radar Masters programme this year, visit this link.
You can also register for this course as a Continuing Professional Development (CPD) student (download CPD – RED Brochure 2015).
University of Cape Town