scholarly journals Vehicle classification applying many‐to‐one input network architecture in 77‐GHz FMCW radar

2021 ◽  
Author(s):  
Haodong Jiang ◽  
Li Zhang ◽  
Ke Wang ◽  
Yaozu Guo ◽  
Feng Yan ◽  
...  
Keyword(s):  
Network Architecture ◽  
Vehicle Classification ◽  
Fmcw Radar ◽  
77 Ghz

Human–vehicle classification using feature‐based SVM in 77‐GHz automotive FMCW radar

2017 ◽  
Vol 11 (10) ◽  
pp. 1589-1596 ◽  
Author(s):  
Seongwook Lee ◽  
Young‐Jun Yoon ◽  
Jae‐Eun Lee ◽  
Seong‐Cheol Kim
Keyword(s):  
Vehicle Classification ◽  
Fmcw Radar ◽  
Feature Based ◽  
77 Ghz

scholarly journals A Compact Integration of a 77 GHz FMCW Radar System Using CMOS Transmitter and Receiver Adopting On-Chip Monopole Feeder

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 6746-6757 ◽  
Author(s):  
Oh-Yun Kwon ◽  
Chenglin Cui ◽  
Jun-Seong Kim ◽  
Jae-Hyun Park ◽  
Reem Song ◽  
...  
Keyword(s):  
Radar System ◽  
Fmcw Radar ◽  
On Chip ◽  
Cmos Transmitter ◽  
77 Ghz

scholarly journals Doppler-Spectrum Feature-Based Human–Vehicle Classification Scheme Using Machine Learning for an FMCW Radar Sensor

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2001 ◽  
Author(s):  
Eugin Hyun ◽  
YoungSeok Jin
Keyword(s):  
Classification Scheme ◽  
Vehicle Classification ◽  
Doppler Spectrum ◽  
Support Vector ◽  
Radar Sensor ◽  
Moving Vehicle ◽  
Fmcw Radar ◽  
Wave Radar ◽  
Spectrum Feature ◽  
Feature Based

In this paper, we propose a Doppler-spectrum feature-based human–vehicle classification scheme for an FMCW (frequency-modulated continuous wave) radar sensor. We introduce three novel features referred to as the scattering point count, scattering point difference, and magnitude difference rate features based on the characteristics of the Doppler spectrum in two successive frames. We also use an SVM (support vector machine) and BDT (binary decision tree) for training and validation of the three aforementioned features. We measured the signals using a 24-GHz FMCW radar front-end module and a real-time data acquisition module and extracted three features from a walking human and a moving vehicle in the field. We then repeatedly measured the classification decision rate of the proposed algorithm using the SVM and BDT, finding that the average performance exceeded 99% and 96% for the walking human and the moving vehicle, respectively.

A Low-Phase-Noise 77-GHz FMCW Radar Transmitter With a 12.8-GHz PLL and a $\times$ 6 Frequency Multiplier

2016 ◽  
Vol 26 (7) ◽  
pp. 540-542 ◽  
Author(s):  
Jae-Hoon Song ◽  
Chenglin Cui ◽  
Seong-Kyun Kim ◽  
Byung-Sung Kim ◽  
Sangwook Nam
Keyword(s):  
Phase Noise ◽  
Frequency Multiplier ◽  
Fmcw Radar ◽  
Low Phase Noise ◽  
77 Ghz

Feature Extraction for Human-Vehicle Classification in FMCW Radar

2019 ◽  
Author(s):  
Ali Rizik ◽  
Andrea Randazzo ◽  
Roberto Vio ◽  
Alessandro Delucchi ◽  
Hussien Chible ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Vehicle Classification ◽  
Fmcw Radar

scholarly journals A DESIGN OF SWITCH ARRAY ANTENNA WITH PERFORMANCE IMPROVEMENT FOR 77 GHZ AUTOMOTIVE FMCW RADAR

2016 ◽  
Vol 66 ◽  
pp. 107-121 ◽  
Author(s):  
Doo-Soo Kim ◽  
Dong-Hee Hong ◽  
Ho-Sang Kwon ◽  
Jin-Mo Yang
Keyword(s):  
Performance Improvement ◽  
Array Antenna ◽  
Fmcw Radar ◽  
77 Ghz

scholarly journals Planar millimeter wave radar frontend for automotive applications

2003 ◽  
Vol 1 ◽  
pp. 125-129 ◽  
Author(s):  
J. Grubert ◽  
J. Heyen ◽  
C. Metz ◽  
L. C. Stange ◽  
A. F. Jacob
Keyword(s):  
Continuous Wave ◽  
Phase Lock Loop ◽  
Automotive Applications ◽  
Cruise Control ◽  
Fully Integrated ◽  
Fmcw Radar ◽  
Wave Radar ◽  
Feed Network ◽  
Zukünftige Entwicklungen ◽  
77 Ghz

Abstract. A fully integrated planar sensor for 77 GHz automotive applications is presented. The frontend consists of a transceiver multichip module and an electronically steerable microstrip patch array. The antenna feed network is based on a modified Rotman-lens and connected to the array in a multilayer approach offering higher integration. Furthermore, the frontend comprises a phase lock loop to allow proper frequency-modulated continuous wave (FMCW) radar operation. The latest experimental results verify the functionality of this advanced frontend design featuring automatic cruise control, precrash sensing and cut-in detection. These promising radar measurements give reason to a detailed theoretical investigation of system performance. Employing commercially available MMIC various circuit topologies are compared based on signal-tonoise considerations. Different scenarios for both sequential and parallel lobing hint to more advanced sensor designs and better performance. These improvements strongly depend on the availability of suitable MMIC and reliable packaging technologies. Within our present approach possible future MMIC developments are already considered and, thus, can be easily adapted by the flexible frontend design. Es wird ein integrierter planarer Sensor für 77 GHz Radaranwendungen vorgestellt. Das Frontend besteht aus einem Sende- und Empfangs-Multi-Chip-Modul und einer elektronisch schwenkbaren Antenne. Das Speisenetzwerk der Antenne basiert auf einer modifizierten Rotman- Linse. Für eine kompakte Bauweise sind Antenne und Speisenetzwerk mehrlagig integriert. Weiterhin umfasst das Frontend eine Phasenregelschleife für eine präzise Steuerung des frequenzmodulierten Dauerstrichradars. Die aktuellen Messergebnisse bestätigen die Funktionalit¨at dieses neuartigen Frontend-Designs, das automatische Geschwindigkeitsregelung, Kollisionswarnung sowie Nahbereichsüberwachung ermöglicht. Die Qualität der Messergebnisse hat weiterführende theoretische Untersuchungen über die potenzielle Systemleistungsfähigkeit motiviert. Unter Berücksichtigung von kommerziell erhältlichenMMICs werden verschiedene Schaltungstopologien auf der Grundlage des Signal-Rausch-Verhältnisses verglichen. Sowohl für sequenzielle als auch für parallele Ansteuerung der Antennenkeulen wird eine deutliche Leistungssteigerung ermittelt. Diese Verbesserungen hängen maßgeblich von der Verfügbarkeit geeigneter MMICs und einer zuverlässigen Aufbau- und Verbindungstechnik ab. Das vorliegende Frontend-Konzept kann auf Grund seiner Flexibilität leicht an derlei zukünftige Entwicklungen angepasst werden.

scholarly journals Design of a Cyberattack Resilient 77 GHz Automotive Radar Sensor

Electronics ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 573 ◽  
Author(s):  
Onur Toker ◽  
Suleiman Alsweiss
Keyword(s):  
Autonomous Vehicles ◽  
Electromagnetic Waves ◽  
Continuous Wave ◽  
Velocity Estimation ◽  
Automotive Radar ◽  
Radar Sensor ◽  
Detection Scheme ◽  
Fmcw Radar ◽  
Core Idea ◽  
77 Ghz

In this paper, we propose a novel 77 GHz automotive radar sensor, and demonstrate its cyberattack resilience using real measurements. The proposed system is built upon a standard Frequency Modulated Continuous Wave (FMCW) radar RF-front end, and the novelty is in the DSP algorithm used at the firmware level. All attack scenarios are based on real radar signals generated by Texas Instruments AWR series 77 GHz radars, and all measurements are done using the same radar family. For sensor networks, including interconnected autonomous vehicles sharing radar measurements, cyberattacks at the network/communication layer is a known critical problem, and has been addressed by several different researchers. What is addressed in this paper is cyberattacks at the physical layer, that is, adversarial agents generating 77 GHz electromagnetic waves which may cause a false target detection, false distance/velocity estimation, or not detecting an existing target. The main algorithm proposed in this paper is not a predictive filtering based cyberattack detection scheme where an “unusual” difference between measured and predicted values triggers an alarm. The core idea is based on a kind of physical challenge-response authentication, and its integration into the radar DSP firmware.

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