[en] Pulse compression can enhance both the performance in range resolution and sensitivity for weather radar. However, it will introduce the issue of high sidelobes if not delicately implemented. Motivated by this fact, we focus on the pulse compression design for weather radar in this paper. Specifically, we jointly design both the subpulse codes and extended mismatch filter based on the alternating direction method of multipliers (ADMM). This joint design will yield a pulse compression with low sidelobes, which equivalently implies a high signal-to-interference-plus-noise ratio (SINR) and a low estimation error on meteorological reflectivity. The experiment results demonstrate the efficacy of the proposed pulse compression strategy since its achieved meteorological reflectivity estimations are highly similar to the ground truth.
Disciplines :
Ingénierie électrique & électronique
Auteur, co-auteur :
WU, Linlong ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SPARC
ALAEEKERAHROODI, 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
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
Improving Pulse-Compression Weather Radar via the Joint Design of Subpulses and Extended Mismatch Filter
Date de publication/diffusion :
2022
Nom de la manifestation :
2022 IEEE International Geoscience and Remote Sensing Symposium
Organisateur de la manifestation :
IEEE
Date de la manifestation :
from 17-07-2022 to 22-07-2022
Titre de l'ouvrage principal :
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium
Pagination :
469--472
Peer reviewed :
Peer reviewed
Projet FnR :
FNR12734677 - Signal Processing For Next Generation Radar, 2018 (01/09/2019-31/08/2022) - Bjorn Ottersten
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