Advances in Adaptive Radar Detection and Range Estimation

This book provides a comprehensive and systematic framework for the design of adaptive architectures, which take advantage of the available a priori information to enhance the detection performance. Moreover, this framework also provides guidelines to develop decision schemes capable of estimating the target position within the range bin. To this end, the readers are driven step-by-step towards those aspects that have to be accounted for at the design stage, starting from the exploitation of system and/or environment information up to the use of target energy leakage (energy spillover), which allows inferring on the target position within the range cell under test.In addition to design issues, this book presents an extensive number of illustrative examples based upon both simulated and real-recorded data. Moreover, the performance analysis is enriched by considerations about the trade-off between performances and computational requirements.Finally, thisbook could be a valuable resource for PhD students, researchers, professors, and, more generally, engineers working on statistical signal processing and its applications to radar systems.

List of contents

Introduction.- Adaptive Radar Detection: Classical Approach.- Knowledge-Aided Detectors.- Detectors with Range Estimation Capabilities.- Knowledge-Aided Detectors with Enhanced Range Estimation Capabilities.- Conclusions.

About the author

1. Chengpeng Hao

He is currently a professor at the Institute of Acoustics, Chinese Academy of Sciences (CAS). His research interests are in the fields of statistical signal processing, array signal processing, and radar/sonar engineering. He is an author or coauthor of more than 100 scientific publications in international journals and conferences. His research has earned him a number of awards, including the Outstanding Achievement Honor in Science from CAS and the Chinese State Advanced Science and Technique Second Prize. He is a senior member of IEEE. He currently serves as Associate Editors for IEEE Access, EURASIP Journal on Advances in Signal Processing (Springer) and Signal, Image and Video Processing (Springer).

2. Danilo Orlando

He is currently a professor at Universitàdeglistudi Niccolò Cusano. His main research interests are in the field of statistical signal processing with radar/sonar applications. He is an author or coauthor of more than 60 scientific publications in international journals and conferences. He is a senior member of IEEE. He is currently a senior area editor for IEEE Transactions on Signal Processing and an Associate Editor for EURASIP Journal on Advances in Signal Processing (Springer).

3. Jun Liu

He is currently an Associate Professor at the University of Science and Technology of China. His main research interests include statistical signal processing, machine learning, and image processing. He is an author or coauthor of more than 80 scientific publications in international journals. He is a senior member of IEEE. He currently serves as Associate Editors for Signal Processing (Elsevier) and IEEE Signal Processing Letters.

4. Chaoran Yin

He is currently a Ph.D student at School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Sciences, and Institute of Acoustics, Chinese Academy of Sciences. He received his B.E. degree of Electromagnetic fields and wireless technology at Northwestern Polytechnical University, Shaanxi, China, in 2018. His main field of interest is signal and information processing, especially statistical signal processing.

Product details

Authors	Chengpen Hao, Chengpeng Hao, Jun Liu, Jun et al Liu, Danil Orlando, Danilo Orlando, Chaoran Yin
Publisher	Springer, Berlin
Languages	English
Product format	Hardback
Released	06.02.2022
EAN	9789811663987
ISBN	978-981-1663-98-7
No. of pages	218
Dimensions	155 mm x 17 mm x 235 mm
Illustrations	XI, 218 p. 80 illus., 14 illus. in color.
Subject	Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering

Product details

• Authors: Chengpen Hao, Chengpeng Hao, Jun Liu, Jun et al Liu, Danil Orlando, Danilo Orlando, Chaoran Yin
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 06.02.2022
• EAN: 9789811663987
• ISBN: 978-981-1663-98-7
• No. of pages: 218
• Dimensions: 155 mm x 17 mm x 235 mm
• Illustrations: XI, 218 p. 80 illus., 14 illus. in color.
• Subject: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering