Adaptive Detection for Multichannel Signals in Non-Ideal Environments
Zeyu Wang, Weijian Liu & Hongmeng Chen
Adaptive Detection for Multichannel Signals in Non-Ideal Environments
Zeyu Wang, Weijian Liu & Hongmeng Chen
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Description
This book systematically presents adaptive multichannel signal detection in three types of non-ideal environments, including sample-starved scenario, signal mismatch scenario, and noise plus subspace interference environment.
Zeyu Wang is an associate research fellow with School of Information and Communication Engineering, Beijing University of Posts and Telecommunications. Her research interests include statistical signal processing and radar target detection. She has authored and co-authored more than 20 scientific publications in international journals and conferences.
Weijian Liu is an associate professor at Wuhan Electronic Information Institute, Wuhan, China. His research interests include multichannel signal detection, 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.
Hongmeng Chen (Senior Member, IEEE) is a Senior Engineer with the Beijing Institute of Radio Measurement, Beijing. His research interests include synthetic aperture radar (SAR)/inverse SAR (ISAR) imaging, forward-looking radar (FLR) imaging, ground moving target indication (GMTI), and motion parameter estimation. He has authored and co-authored more than 50 scientific publications in international journals and conferences. He is an editorial board member with several international journals, including Journal of Radars, and Aero Weaponry. He is also an excellent reviewer of the journal Digital Signal Processing.