Speaker: Weijian Liu

Affiliation: Wuhan Electronic Information Institute

Academic title: Associate Professor

Abstract:

In multichannel adaptive signal detection, the test and training data are combined to create an adaptive detector that determines the presence of a target. This adaptive detector has the advantage of maintaining a constant false alarm rate (CFAR), eliminating the need for additional CFAR processing. Furthermore, there is no need for a separate filtering process since the adaptive detector already incorporates the filtering function. Compared to the filtering-then-CFAR detection technique, adaptive detection generally yields superior detection performance. In this presentation, we will cover the fundamental theory behind multichannel adaptive signal detection and provide examples of its application in radar systems.

Biography:

Weijian Liu received the Ph.D. degree in information and communication engineering from National University of Defense Technology, Changsha, China, in 2014. He is an associate professor with Wuhan Electronic Information Institute, Wuhan, China. His current research interests include multichannel signal detection, and statistical and array signal processing. He is an editorial board member with several international journals, including IEEE Transactions on Aerospace and Electronic Systems, Signal Processing, and Digital Signal Processing.