Adaptive radar detection exploiting persymmetry in sample-starved environments

Speaker: Prof. Jun Liu ( University of Science and Technology of China, Hefei, China)

Abtract: Multichannel radar target detection in Gaussian clutter has been a topic of long-standing interest. As customary, it is assumed that a set of homogeneous training data is available in adaptive detection. In practice, it is difficult to collect sufficient homogeneous training data, e.g., due to the presence of several electromagnetic sources. The focus of this talk is on the exploitation of persymmetry for adaptive detection in sample-starved environments where the training data are insufficient.