Adaptive Detection for Multichannel Signals in Non-Ideal Environments
1st Edition
Will be published approx. on 22. June 2026
Book
Paperback/Softback
180 pages
978-1-032-76961-5 (ISBN)
Description
This book systematically presents adaptive multichannel signal detection in three types of non-ideal environments, including sample-starved scenarios, signal mismatch scenarios, and noise plus subspace interference environments.
The authors provide definitions of key concepts, detailed derivations of adaptive multichannel signal detectors, and specific examples for each non-ideal environment. In addition, the possible future trend of adaptive detection methods is discussed, as well as two further research points - namely, the adaptive detection algorithms based on information geometry, and the hybrid approaches that combine adaptive detection algorithms with machine learning algorithms.
The book will be of interest to researchers, advanced undergraduates, and graduate students in sonar, radar signal processing, and communications engineering.
The authors provide definitions of key concepts, detailed derivations of adaptive multichannel signal detectors, and specific examples for each non-ideal environment. In addition, the possible future trend of adaptive detection methods is discussed, as well as two further research points - namely, the adaptive detection algorithms based on information geometry, and the hybrid approaches that combine adaptive detection algorithms with machine learning algorithms.
The book will be of interest to researchers, advanced undergraduates, and graduate students in sonar, radar signal processing, and communications engineering.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Postgraduate and Professional Reference
Product notice
Paperback (trade)
Unsewn / adhesive bound
Illustrations
1 s/w Tabelle, 46 s/w Zeichnungen, 1 s/w Photographie bzw. Rasterbild, 47 s/w Abbildungen
1 Tables, black and white; 46 Line drawings, black and white; 1 Halftones, black and white; 47 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 11 mm
Weight
281 gr
ISBN-13
978-1-032-76961-5 (9781032769615)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Zeyu Wang | Weijian Liu | Hongmeng Chen
Adaptive Detection for Multichannel Signals in Non-Ideal Environments
Book
06/2024
1st Edition
CRC Press
€121.00
Shipment within 10-20 days
Zeyu Wang | Weijian Liu | Hongmeng Chen
Adaptive Detection for Multichannel Signals in Non-Ideal Environments
E-Book
06/2024
1st Edition
CRC Press
€115.99
Available for download
Zeyu Wang | Weijian Liu | Hongmeng Chen
Adaptive Detection for Multichannel Signals in Non-Ideal Environments
E-Book
06/2024
1st Edition
CRC Press
€115.99
Available for download
Persons
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.
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.
Content
1. Overview for Adaptive Detection 2. Adaptive Detectors in Sample-Starved Environment 3. Adaptive Selective Detectors for Mismatched Signals in the Presence of Signal Mismatch 4. Adaptive Robust Detector in the Presence of Signal Mismatch 5. Tunable Adaptive Detector for Mismatched Signals 6. Adaptive Detection of a Subspace Signal in Interference 7. Future Trends