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Advances in Adaptive Radar Detection and Range Estimation

  • Book
  • © 2022

Overview

Authors:
  1. Chengpeng Hao

    1. Institute of Acoustics, Chinese Academy of Sciences, Beijing, China

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  2. Danilo Orlando

    1. University Niccolò Cusano, Roma, Italy

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  3. Jun Liu

    1. Department of Electronic Engineering & Information Science, University of Science and Technology of China, Hefei, China

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  4. Chaoran Yin

    1. School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Science, Beijing, China

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  • Provides a comprehensive and systematic framework about the design of adaptive architectures

  • Presents an extensive number of illustrative examples based upon both simulated and real-recorded data

  • Valuable resources for readers working on statistical signal processing and its applications to radar systems

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Introduction to Radar Systems

    • Chengpeng Hao, Danilo Orlando, Jun Liu, Chaoran Yin
    Pages 1-22

  3. Adaptive Radar Detection: Classical Approach

    • Chengpeng Hao, Danilo Orlando, Jun Liu, Chaoran Yin
    Pages 23-44

  4. Knowledge-Aided Detectors

    • Chengpeng Hao, Danilo Orlando, Jun Liu, Chaoran Yin
    Pages 45-102

  5. Detectors with Enhanced Range Estimation Capabilities

    • Chengpeng Hao, Danilo Orlando, Jun Liu, Chaoran Yin
    Pages 103-153

  6. Knowledge-Aided Localization Detectors

    • Chengpeng Hao, Danilo Orlando, Jun Liu, Chaoran Yin
    Pages 155-192

  7. Back Matter

    Pages 193-218
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Keywords

About this book

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, this book 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.



Authors and Affiliations

  • Institute of Acoustics, Chinese Academy of Sciences, Beijing, China

    Chengpeng Hao

  • University Niccolò Cusano, Roma, Italy

    Danilo Orlando

  • Department of Electronic Engineering & Information Science, University of Science and Technology of China, Hefei, China

    Jun Liu

  • School of Electronic Electrical and Communication Engineering, University of Chinese Academy of Science, Beijing, China

    Chaoran Yin

About the authors

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.


Bibliographic Information

  • Book Title: Advances in Adaptive Radar Detection and Range Estimation

  • Authors: Chengpeng Hao, Danilo Orlando, Jun Liu, Chaoran Yin

  • DOI: https://doi.org/10.1007/978-981-16-6399-4

  • Publisher: Springer Singapore

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Science Press 2022

  • Hardcover ISBN: 978-981-16-6398-7Published: 04 December 2021

  • Softcover ISBN: 978-981-16-6401-4Published: 05 December 2022

  • eBook ISBN: 978-981-16-6399-4Published: 03 December 2021

  • Edition Number: 1

  • Number of Pages: XI, 218

  • Number of Illustrations: 66 b/w illustrations, 14 illustrations in colour

  • Additional Information: Jointly published with Science Press, Beijing, China

  • Topics: Microwaves, RF and Optical Engineering, Signal, Image and Speech Processing, Control, Robotics, Mechatronics

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