FMCW Radar Analysis for Real-World ADAS Applications Using Altair WinProp

Advanced Driver Assistance Systems (ADAS) have been developed as a key technology to mitigate road fatalities, significantly enhancing passenger safety through features such as Adaptive Cruise Control, Blind Spot Detection, Lane Change Assist, Rear Crash Warning, and Stop & Go functionality. This study presents a detailed analysis and post-processing of Frequency-Modulated Continuous Wave (FMCW) radars employed in ADAS applications. To evaluate performance, a series of scenarios closely replicating real-world conditions were constructed, with simulations and post-processing conducted in Altair WinProp and analyzed Doppler range versus velocity maps.

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Published
2025-05-18
DOI
https://doi.org/10.23919/aces66556.2025.11052513
Primary Topic
Radar Systems and Signal Processing
Type
article
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article

FMCW Radar Analysis for Real-World ADAS Applications Using Altair WinProp

Shriya Kapoor, Gopinath Gampala
Radar Systems and Signal Processing
article

FMCW Radar Analysis for Real-World ADAS Applications Using Altair WinProp

Shriya Kapoor, Gopinath Gampala
article en

Abstract

Advanced Driver Assistance Systems (ADAS) have been developed as a key technology to mitigate road fatalities, significantly enhancing passenger safety through features such as Adaptive Cruise Control, Blind Spot Detection, Lane Change Assist, Rear Crash Warning, and Stop & Go functionality. This study presents a detailed analysis and post-processing of Frequency-Modulated Continuous Wave (FMCW) radars employed in ADAS applications. To evaluate performance, a series of scenarios closely replicating real-world conditions were constructed, with simulations and post-processing conducted in Altair WinProp and analyzed Doppler range versus velocity maps.

Georgia Institute of Technology (US), Altair Engineering (United States) (US)
Openalex Percentile: Top 78%
Radar Systems and Signal Processing
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