© 2020

Radar Signal Processing for Autonomous Driving


Part of the Signals and Communication Technology book series (SCT)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Jonah Gamba
    Pages 1-14
  3. Jonah Gamba
    Pages 15-21
  4. Jonah Gamba
    Pages 23-36
  5. Jonah Gamba
    Pages 53-63
  6. Jonah Gamba
    Pages 65-86
  7. Jonah Gamba
    Pages 87-104
  8. Jonah Gamba
    Pages 123-142

About this book


The subject of this book is theory, principles and methods used in radar algorithm development with a special focus on automotive radar signal processing. In the automotive industry, autonomous driving is currently a hot topic that leads to numerous applications for both safety and driving comfort. It is estimated that full autonomous driving will be realized in the next twenty to thirty years and one of the enabling technologies is radar sensing. This book presents both detection and tracking topics specifically for automotive radar processing. It provides illustrations, figures and tables for the reader to quickly grasp the concepts and start working on practical solutions. The complete and comprehensive coverage of the topic provides both professionals and newcomers with all the essential methods and tools required to successfully implement and evaluate automotive radar processing algorithms.


Radar signal processing Radar Waveforms Radar Target Detection Target Filtering Target Tracking Automotive Radar Applications Radar Sensor Automotive Radar Processing Algorithms Autonomous Driving Automotive Radar Systems

Authors and affiliations

  1. 1.TsukubaJapan

About the authors

Jonah Gamba received a BSc degree in Electrical and Electronics Engineering from the University of Zimbabwe in 1994 and an MSc in Computer Science and Engineering from Zhejiang University, Hangzhou, China, in 2000. He obtained a PhD degree in Mathematical Information Systems from Saitama University in 2005. He was a post-doctoral research fellow in information theory at Tsukuba University from 2006 to 2008.

He has been actively involved in research and development activities after obtaining his PhD. He conducted research in automotive applications of millimeter-wave radar for advanced vehicle safety and comfort systems. At Tsukuba University’s Tsukuba Advanced Research Alliance he conducted research in video and image processing algorithms as a JST CREST Project postdoctoral researcher. CREST is the highest level of research in Japan. His research activities involved development of the next generation high resolution algorithms for both high definition TVs and portable mobile devices such as smartphones. In application area, he was key part model based development activities in signal processing, communications and physical modeling as an Application Engineer. His main task was to implementing signal processing and control algorithms for the automotive and electronics industry clients. This area targeted both hardware and software development especially DSPs and FPGA/ASIC. Additionally, he was a software R&D engineer and manager for multicore/many-core microprocessors deployed in automotive vision, video mining and mobile applications. His task is to manage and develop software for multicore processors with the aim of increasing performance while minimizing energy consumption. He was also a leading developer of the millimeter wave radar sensor for autonomous driving applications with Fujitsu Ten.

Dr. Gamba has authored and co-authored several publications in signal processing and related fields. As an inventor, he has registered multiple patents in signal processing applications. His current interests are signal processing for automotive applications, functional safety management and remote sensing. He has been a visiting researcher of Seikei University and Tokyo University. He is a member of IEEE Signal Processing Society.

Bibliographic information

  • Book Title Radar Signal Processing for Autonomous Driving
  • Authors Jonah Gamba
  • Series Title Signals and Communication Technology
  • Series Abbreviated Title Signals, Communication Technology
  • DOI
  • Copyright Information Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-981-13-9192-7
  • Softcover ISBN 978-981-13-9195-8
  • eBook ISBN 978-981-13-9193-4
  • Series ISSN 1860-4862
  • Series E-ISSN 1860-4870
  • Edition Number 1
  • Number of Pages XV, 142
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Signal, Image and Speech Processing
    Machine Learning
    Robotics and Automation
  • Buy this book on publisher's site