Title: Physics-based modelling method for automotive radar with frequency shift keying and linear frequency modulation
Authors: Shuqing Zeng; Weiwen Deng
Addresses: General Motors Research and Development Center, Warren, Michigan 48312, USA ' State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, China
Abstract: 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.
Keywords: physics-based modelling; radar modelling; automotive radar; FSK; frequency-shift keying; linear frequency modulation; LFM; simulation; advanced driver assistance systems; ADAS; object detection; extended Kalman filter; EKF; track multiple objects; object tracking; adaptive cruise control; ACC; vehicle design.
International Journal of Vehicle Design, 2015 Vol.67 No.3, pp.237 - 258
Available online: 18 May 2015 *Full-text access for editors Access for subscribers Purchase this article Comment on this article