TY - BOOK AU - Cao,Lin AU - Zhao,Zongmin AU - Wang,Dongfeng ED - SpringerLink (Online service) TI - Target Recognition and Tracking for Millimeter Wave Radar in Intelligent Transportation SN - 9789819915330 AV - TK5101-5105.9 U1 - 621.3 23 PY - 2023/// CY - Singapore PB - Springer Nature Singapore, Imprint: Springer KW - Telecommunication KW - Engineering KW - Data processing KW - Signal processing KW - Transportation engineering KW - Traffic engineering KW - Microwaves, RF Engineering and Optical Communications KW - Data Engineering KW - Digital and Analog Signal Processing KW - Transportation Technology and Traffic Engineering N1 - Acceso multiusuario; Chapter 1. Introduction -- Chapter 2. The system of Traffic radar -- Chapter 3. Signal Processing Algorithm of Microwave Velocity Radar -- Chapter 4. Target Recognition and Tracking of Microwave Velocity Radar -- Chapter 5. The research on Clustering algorithm -- Chapter 6. Multi-target tracking algorithm and system design -- Chapter 7. Information fusion and target recognition based on millimeter wave radar and machine vision N2 - 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 UR - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-99-1533-0 ER -