Range Cell Migration Processing Loss in Automotive Radar - Equipe Propagation and Multi-scale Interaction
Communication Dans Un Congrès Année : 2024

Range Cell Migration Processing Loss in Automotive Radar

Résumé

Frequency Modulated Continuous Wave (FMCW) automotive radar using stretch-processing usually relies on a fast-chirp signal model which assumes range and Doppler decoupling between fast and slow-time dimensions. To achieve high range and speed resolutions, a large bandwidth and a long coherent processing interval are used. However, if multiple range resolution cells are crossed during the integration duration, fast-chirp signal model assumption becomes inaccurate, resulting in misfocusing in both fast and slow-time dimensions. This misfocusing leads to the misestimation of target parameters and a loss of coherent integration. In this paper, Range Cell Migration (RCM) processing loss is studied and illustrated using a FMCW signal model. Furthermore, a windowing in both dimensions is proposed to mitigate this loss.
Fichier principal
Vignette du fichier
RA241491.pdf (1.58 Mo) Télécharger le fichier
Origine Accord explicite pour ce dépôt

Dates et versions

hal-04803322 , version 1 (29-11-2024)

Identifiants

Citer

Adrien Grivey, Kevin Cinglant, Fabrice Comblet, Ali Khenchaf. Range Cell Migration Processing Loss in Automotive Radar. 2024 21st European Radar Conference (EuRAD), Sep 2024, Paris, France. pp.200-203, ⟨10.23919/EuRAD61604.2024.10734886⟩. ⟨hal-04803322⟩
0 Consultations
0 Téléchargements

Altmetric

Partager

More