𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Radar Signal Processing for Autonomous Driving

✍ Scribed by Jonah Gamba


Publisher
Springer Singapore
Year
2020
Tongue
English
Leaves
151
Series
Signals and Communication Technology
Edition
1st ed. 2020
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


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.


✦ Table of Contents


Front Matter ....Pages i-xv
Fundamentals of Radar Systems (Jonah Gamba)....Pages 1-14
The Radar Equation (Jonah Gamba)....Pages 15-21
Signal Processing for Radar Systems (Jonah Gamba)....Pages 23-36
Radar Waveforms and Their Mathematical Models (Jonah Gamba)....Pages 37-51
Radar Target Detection (Jonah Gamba)....Pages 53-63
Direction of Arrival (DOA) Estimation (Jonah Gamba)....Pages 65-86
Target Filtering and Tracking (Jonah Gamba)....Pages 87-104
Target Recognition and Classification Techniques (Jonah Gamba)....Pages 105-121
Automotive Radar Applications (Jonah Gamba)....Pages 123-142

✦ Subjects


Engineering; Signal, Image and Speech Processing; Robotics and Automation


πŸ“œ SIMILAR VOLUMES


Radar Signal Processing for Autonomous D
✍ Jonah Gamba πŸ“‚ Library πŸ“… 2019 πŸ› Springer 🌐 English

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.

Radar for Fully Autonomous Driving
✍ Matt Markel πŸ“‚ Library πŸ“… 2022 πŸ› Artech House Publishers 🌐 English

<span>This is the first book to bring together the increasingly complex radar automotive technologies and tools being explored and utilized in the development of fully autonomous vehicles - technologies and tools now understood to be an essential need for the field to fully mature. The book presents

Deep Learning Methods for Automotive Rad
✍ Rodrigo PΓ©rez GonzΓ‘lez πŸ“‚ Library πŸ“… 2021 πŸ› Cuvillier 🌐 English

For autonomous driving to become a reality, future sensor systems must be able to not only capture the vehicle's environment, but also to provide semantic information. In this work, deep learning methods, meant to enhance-or even replace-the classical radar signal processing chain, are developed and

MIMO Radar Signal Processing
✍ Jian Li, Petre Stoica πŸ“‚ Library πŸ“… 2008 🌐 English

The first book to present a systematic and coherent picture of MIMO radars Due to its potential to improve target detection and discrimination capability, Multiple-Input and Multiple-Output (MIMO) radar has generated significant attention and widespread interest in academia, industry, governm

Adaptive Radar Signal Processing
✍ Simon Haykin πŸ“‚ Library πŸ“… 2006 πŸ› Wiley-Interscience 🌐 English

This collaborative work presents the results of over twenty years of pioneering research by Professor Simon Haykin and his colleagues, dealing with the use of adaptive radar signal processing to account for the nonstationary nature of the environment. These results have profound implications for def