Close Vehicle Warning for Bicyclists based on FMCW radar Tomas - - PowerPoint PPT Presentation

Department of Electrical Engineering 11.05.2017

Close Vehicle Warning for Bicyclists based on FMCW radar

Tomas Krejci

Department of Electrical Engineering 11.05.2017

INTRODUCTION

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• Concept of the close vehicle warning systém.
• System based on Frequency Modulated Continuous

Wave (FMCW) radar sensor. The radar works at frequency of 24.1 GHz with 180 MHz bandwidth.

• The implementation of the signal processing is realized

in a Field Programmable Gate Array System On Chip

Department of Electrical Engineering 11.05.2017

FMCW

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• FMCW radar is able to measure distances of static objects using

Frequency shift of transmission and reception signal

• The maximum ambiguous range is at 47.96 m
• The resolution in the range is 0.373 m
• The maximum ambiguous velocity is 12.19 m/s
• The minimum detectable step in velocity is 0.381 m/s

Department of Electrical Engineering 11.05.2017

PROTOTYPE

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• The prototype of radar system is built

an Altera kit with Cyclone V System On Chip (SoC, in this case FPGA + ARM in

• ne

integrated circuit), and data convert card with two ADCs and two DACs.

• A radar sensor K-LC1a. The radar

works at 24.125 GHz with bandwidth 180 MHz.

Department of Electrical Engineering 11.05.2017

REAL MEASUREMENT

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• Prototype testing was performed in

the university courtyard

• Three peaks were detected using

adaptive threshold and these peaks relate to the targets in the

• The vehicle velocity was 15 km/h

(4.16 m/s) and the distance of the vehicle was 4.5 m (red bordered

• bject).
• The static objects around the

vehicle were detected, and these are marked in the green box. A faintly detectable object (penthouse) is marked in yellow.

Department of Electrical Engineering 11.05.2017

ACKNOWLEDGEMENT & CONTACT

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Tomáš Krejčí Tomas.Krejci2@student.upce.cz Department of Electrical Engineering

Faculty of Electrical Engineering and Informatics University of Pardubice Czech Republic http://www.upce.cz/en/fei/ke.html

The described research was supported by the Internal Grant Agency

• f University of Pardubice, the project No. SGSFEI_ 2017_026