Blender; channel simulation; FMCW radar; indoor pedestrian; ray tracing
Abstract :
[en] Radar simulation is a promising way to provide data-cube with effectiveness
and accuracy for AI-based approaches to radar applications. This paper develops
a channel simulator to generate frequency-modulated continuous-wave (FMCW)
waveform multiple inputs multiple outputs (MIMO) radar signals. In the proposed
simulation framework, an open-source animation tool called Blender is utilized
to model the scenarios and render animations. The ray tracing (RT) engine
embedded can trace the radar propagation paths, i.e., the distance and signal
strength of each path. The beat signal models of time division multiplexing
(TDM)-MIMO are adapted to RT outputs. Finally, the environment-based models are
simulated to show the validation.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SPARC- Signal Processing Applications in Radar and Communications
Disciplines :
Electrical & electronics engineering
Author, co-author :
LIU, Yuan ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
AHMADI, Moein ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
FUCHS, Johann ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
ALAEE, Mohammad ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
MYSORE RAMA RAO, Bhavani Shankar ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
External co-authors :
no
Language :
English
Title :
A Blender-based channel simulator for FMCW Radar
Publication date :
12 June 2023
Event name :
International Symposium on Computational Sensing 2023
