Adaptive Radar Detection

This lecture is focused on adaptive radar detection in the presence of interference with unknown covariance matrix. After motivating the importance of the topic, the data collection process implemented in a radar system is described together with the mathematical model for the useful target and the interference component. Hence the target detection problem is formulated and some viable solutions are presented (such as for instance Kelly's Generalized Likelihood Ratio Detector, Adaptive Matched Filter (AMF), Rao test, and Wald test. Finally computational complexity and performance issues in terms of detection and false alarm probability are discussed.