[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 :
Electrical & electronics engineering
Author, co-author :
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
External co-authors :
no
Language :
English
Title :
Improving Pulse-Compression Weather Radar via the Joint Design of Subpulses and Extended Mismatch Filter
Publication date :
2022
Event name :
2022 IEEE International Geoscience and Remote Sensing Symposium
Event organizer :
IEEE
Event date :
from 17-07-2022 to 22-07-2022
Main work title :
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium
Pages :
469--472
Peer reviewed :
Peer reviewed
FnR Project :
FNR12734677 - Signal Processing For Next Generation Radar, 2018 (01/09/2019-31/08/2022) - Bjorn Ottersten
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