Название: Target Recognition and Tracking for Millimeter Wave Radar in Intelligent Transportation
Автор: Lin Cao, Zongmin Zhao, Dongfeng Wang
Издательство: Springer/Publishing House of Electronics Industry
Год: 2023
Страниц: 248
Язык: английский
Формат: pdf (true)
Размер: 10.6 MB

This book starts with the introduction of the radar working system from a mathematical point of view. It shows the composition of transmitted signal and echo signal, and describes the principle of speed measurement and distance measurement for different radar systems. The book focuses on millimeter-wave radar technologies related to echo signal denoising, target identification, clustering, and target tracking and develops a workable plan for the information fusion idea between millimeter-wave radar and Machine Vision.

This book breaks down the systematic processing flow of millimeter-wave radar echo signals one by one from the standpoint of intelligent transportation, concentrating on the introduction of principles and reinforced by a plethora of experimental instances. So that readers from all relevant professions may comprehend millimeter-wave radar's involvement throughout the complete system process.

By reading this book, readers can understand the role of millimeter-wave radar in the field of intelligent transportation, as well as the architecture of the vehicle tracking system based on MIMO millimeter-wave radar, and the processing method of millimeter-wave radar detection data. From the point of view of the radar, to understand the whole system in depth, it is necessary to know not only what it is, but also why it is. The book consists of 7 chapters. Chapter 1 introduces the application and research situation of millimeter-wave radar in the field of intelligent transportation, as well as radar data and image processing techniques; Chap. 2 introduces several commonly used traffic radar systems and compares them; Chap. 3 introduces new denoising algorithms based on traditional denoising algorithms and introduces a method of correcting the radar installation swing angle using measure- ment data; Chap. 4 introduces the detection and tracking technology of vehicles in practical scenes based on the measured data; Chap. 5 introduces the classical clustering algorithm and proposes the spindle-based density peak fuzzy clustering; Chap. 6 introduces the technology of target tracking using data association algorithm and the design of multi-target tracking system; and Chap. 7 briefly introduces image processing technology and the fusion method of image and radar data.