Physics–based modelling method for automotive radar with frequency shift keying and linear frequency modulation
In this paper, a novel physics–based method is presented in modelling the low–level physical characteristics of automotive radars. The aim is to enable real time simulation with a high–fidelity radar model to accelerate the development of an advanced driver assistance system (ADAS). The radar model is specifically based on frequency modulated continuous wave (FMCW) using frequency–shift keying and linear frequency modulation (FSK–LFM). Based on this simulated radar sensing system, the object detection algorithm is developed by employing an extended Kalman filter (EKF) approach to track multiple objects. Extensive simulation has been conducted that has verified the proposed radar model under several typical scenarios with adaptive cruise control (ACC) system.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/14775360
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Supplemental Notes:
- Copyright © 2015 Inderscience Enterprises Ltd.
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Authors:
- Zeng, Shuqing
- Deng, Weiwen
- Publication Date: 2015
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 237-258
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Serial:
- International Journal of Vehicle Design
- Volume: 67
- Issue Number: 3
- Publisher: Inderscience Enterprises Limited
- ISSN: 1477-5360
- Serial URL: http://www.inderscience.com/jhome.php?jcode=IJVD
Subject/Index Terms
- TRT Terms: Autonomous intelligent cruise control; Detection and identification systems; Frequency modulation; Kalman filtering; Physical properties; Radar; Tracking systems; Vehicle design
- Uncontrolled Terms: Object detection systems
- Subject Areas: Design; Highways; Vehicles and Equipment; I91: Vehicle Design and Safety;
Filing Info
- Accession Number: 01581789
- Record Type: Publication
- Files: TRIS
- Created Date: Nov 25 2015 9:14AM