Advances in Adaptive Radar Detection and Range Estimation

Chengpeng Hao, Danilo Orlando, Jun Liu, Chaoran Yin (Autoren)

Buch | Softcover

218 Seiten

2022 | 1st ed. 2022
Springer Verlag, Singapore
978-981-16-6401-4 (ISBN)

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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.

1. Chengpeng HaoHe 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 OrlandoHe 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 LiuHe 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 YinHe 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.

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

Erscheinungsdatum	07.12.2022
Zusatzinfo	14 Illustrations, color; 66 Illustrations, black and white; XI, 218 p. 80 illus., 14 illus. in color.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik
	Technik ► Elektrotechnik / Energietechnik
	Technik ► Nachrichtentechnik
ISBN-10	981-16-6401-3 / 9811664013
ISBN-13	978-981-16-6401-4 / 9789811664014
Zustand	Neuware