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.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
