Reference : Improving Pulse-Compression Weather Radar via the Joint Design of Subpulses and Exten...

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	To cite this reference:	http://hdl.handle.net/10993/53614

Title :	Improving Pulse-Compression Weather Radar via the Joint Design of Subpulses and Extended Mismatch Filter
Language :	English
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 >]
Publication date :	2022
Main document title :	IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium
Pages :	469--472
Peer reviewed :	Yes
Event name :	2022 IEEE International Geoscience and Remote Sensing Symposium
Event date :	from 17-07-2022 to 22-07-2022
Event organizer :	IEEE
Abstract :	[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.
Permalink :	http://hdl.handle.net/10993/53614
FnR project :	FnR ; FNR12734677 > Bjorn Ottersten > SPRINGER > Signal Processing For Next Generation Radar > 01/09/2019 > 31/08/2022 > 2018

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